Triple

T17631216
Position Surface form Disambiguated ID Type / Status
Subject Romance linguistics E429978 entity
Predicate isSubdisciplineOf P5484 FINISHED
Object historical-comparative linguistics 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: historical-comparative linguistics | Statement: [Romance linguistics, isSubdisciplineOf, historical-comparative linguistics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSubdisciplineOf
Context triple: [Romance linguistics, isSubdisciplineOf, historical-comparative linguistics]
  • A. subDisciplineOf chosen
    Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
  • B. hasSubdiscipline
    Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
  • C. studiedByDiscipline
    Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
  • D. secondaryDiscipline
    Indicates that an entity has an additional, subordinate field of study or area of specialization associated with it, distinct from its primary discipline.
  • E. isSubjectOfStudy
    Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc192dc8190854f1fe5d5ed696a completed April 19, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69e3cddc87188190ac2f049b86038676 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:52 a.m.