Triple

T21020284
Position Surface form Disambiguated ID Type / Status
Subject Battle of Cherbourg E517786 entity
Predicate belligerent P375 FINISHED
Object Union NE NERFINISHED

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: Union | Statement: [Battle of Cherbourg, belligerent, Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union
Context triple: [Battle of Cherbourg, belligerent, Union]
  • A. Union
    Union is the commonly used short name for the Major League Soccer club Philadelphia Union.
  • B. Union
    Union is a major interchange station in the Dubai Metro system where key lines intersect, serving as a central hub for passenger transfers.
  • C. Union
    "Union" is a poetry collection by American poet and editor Don Share, recognized for its incisive, formally inventive, and emotionally resonant explorations of contemporary life.
  • D. Union chosen
    The Union was the federal government and Northern states of the United States that opposed the seceding Confederate states during the American Civil War.
  • E. Union
    Union is a town in Broome County, New York, that forms part of the Binghamton metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5c905c8190ba2f9f82b6cd1648 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.