Triple

T13664205
Position Surface form Disambiguated ID Type / Status
Subject Galatian language E327073 entity
Predicate hasLinguisticEvidenceType P106795 FINISHED
Object glosses LITERAL FINISHED

How this triple was built (2 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: glosses | Statement: [Galatian language, hasLinguisticEvidenceType, glosses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticEvidenceType
Context triple: [Galatian language, hasLinguisticEvidenceType, glosses]
  • A. hasLexicalEvidenceType chosen
    Indicates that there exists a specified type or category of lexical evidence supporting or characterizing a given relationship or assertion.
  • B. hasLanguageEvidenceOf
    Indicates that there is linguistic or textual evidence supporting, documenting, or attesting to the related entity or claim.
  • C. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • D. hasLinguisticDocumentation
    Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
  • E. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • F. None of above.

Provenance (3 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe8d8d0881908d6e89954f44eed4 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:52 p.m.