Triple

T5003122
Position Surface form Disambiguated ID Type / Status
Subject Badge of Military Merit E112420 entity
Predicate locationOfCreation P1041 FINISHED
Object Newburgh, New York E14893 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: Newburgh, New York | Statement: [Badge of Military Merit, locationOfCreation, Newburgh, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newburgh, New York
Context triple: [Badge of Military Merit, locationOfCreation, Newburgh, New York]
  • A. Newburgh, New York chosen
    Newburgh, New York is a historic city in the Hudson Valley known for its waterfront along the Hudson River and its significant role in early American history.
  • B. Newburgh
    Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
  • C. Newburgh
    Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
  • D. Newark, New York
    Newark, New York is a small village in Wayne County known as a local commercial center along the Erie Canal in the Finger Lakes region.
  • E. Schenectady, New York
    Schenectady, New York is a historic city in eastern New York State known for its role in early American industry and as a former hub of General Electric and the American locomotive industry.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72c062d08190b755fa7461839f52 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74872582c81908c64a9bf925f67c6 completed March 28, 2026, 3:18 a.m.
Created at: March 20, 2026, 1:35 p.m.