Triple

T14511798
Position Surface form Disambiguated ID Type / Status
Subject Siad Barre E340414 entity
Predicate familyName P18 FINISHED
Object Barre E224357 NE 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: Barre | Statement: [Siad Barre, familyName, Barre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barre
Context triple: [Siad Barre, familyName, Barre]
  • A. Barre chosen
    Barre is a French surname borne by various notable figures, including artists, politicians, and scientists.
  • B. Barre, Massachusetts
    Barre, Massachusetts is a small rural town in Worcester County known for its historic New England character and scenic countryside.
  • C. Barre, New York
    Barre, New York is a small rural town located in Orleans County in western New York State, known for its agricultural landscape and quiet residential character.
  • D. Barre, Vermont
    Barre, Vermont is a small city in central Vermont known historically for its granite quarries and stonecutting industry.
  • E. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6c6054819086b4c0ce1d83fdc5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.