Triple

T1734369
Position Surface form Disambiguated ID Type / Status
Subject Grimm's law E37887 entity
Predicate influenced P9 FINISHED
Object Neogrammarian hypothesis of sound laws
The Neogrammarian hypothesis of sound laws is a linguistic principle asserting that phonetic changes in a language occur regularly and without exceptions under the same conditions, forming the basis for systematic historical-comparative linguistics.
E195336 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Neogrammarian hypothesis of sound laws | Statement: [Grimm's law, influenced, Neogrammarian hypothesis of sound laws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neogrammarian hypothesis of sound laws
Context triple: [Grimm's law, influenced, Neogrammarian hypothesis of sound laws]
  • A. Verner's law
    Verner's law is a historical linguistic principle explaining a systematic set of consonant alternations in the Germanic languages that refined and expanded upon Grimm's law.
  • B. Grimm's law
    Grimm's law is a fundamental linguistic principle describing the systematic consonant shifts that distinguish the Germanic languages from other Indo-European branches.
  • C. Ingvaeonic nasal spirant law
    Ingvaeonic nasal spirant law is a historical sound change in early Germanic languages that caused the loss of nasal consonants before fricatives, leaving characteristic vowel changes in Anglo-Frisian and related dialects.
  • D. High German consonant shift
    The High German consonant shift was a major sound change in early Germanic dialects that transformed the consonant system and helped distinguish High German (and related varieties like Lombardic) from other West Germanic languages.
  • E. Indo-European phonology
    Indo-European phonology is the branch of linguistics that reconstructs and analyzes the sound systems and sound changes of the Proto-Indo-European language and its descendant languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neogrammarian hypothesis of sound laws
Triple: [Grimm's law, influenced, Neogrammarian hypothesis of sound laws]
Generated description
The Neogrammarian hypothesis of sound laws is a linguistic principle asserting that phonetic changes in a language occur regularly and without exceptions under the same conditions, forming the basis for systematic historical-comparative linguistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neogrammarian hypothesis of sound laws
Target entity description: The Neogrammarian hypothesis of sound laws is a linguistic principle asserting that phonetic changes in a language occur regularly and without exceptions under the same conditions, forming the basis for systematic historical-comparative linguistics.
  • A. Verner's law
    Verner's law is a historical linguistic principle explaining a systematic set of consonant alternations in the Germanic languages that refined and expanded upon Grimm's law.
  • B. Grimm's law
    Grimm's law is a fundamental linguistic principle describing the systematic consonant shifts that distinguish the Germanic languages from other Indo-European branches.
  • C. Ingvaeonic nasal spirant law
    Ingvaeonic nasal spirant law is a historical sound change in early Germanic languages that caused the loss of nasal consonants before fricatives, leaving characteristic vowel changes in Anglo-Frisian and related dialects.
  • D. High German consonant shift
    The High German consonant shift was a major sound change in early Germanic dialects that transformed the consonant system and helped distinguish High German (and related varieties like Lombardic) from other West Germanic languages.
  • E. Indo-European phonology
    Indo-European phonology is the branch of linguistics that reconstructs and analyzes the sound systems and sound changes of the Proto-Indo-European language and its descendant languages.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d999148190a889f761af05f431 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada207c50881909729bf565c2af9dd completed March 8, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69ada2c607fc819089d276ae9eca82a4 completed March 8, 2026, 4:24 p.m.
Created at: March 4, 2026, 7:30 p.m.