Triple

T15467020
Position Surface form Disambiguated ID Type / Status
Subject 4 PARA E372055 entity
Predicate training P3665 FINISHED
Object P Company E74878 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: P Company | Statement: [4 PARA, training, P Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P Company
Context triple: [4 PARA, training, P Company]
  • A. P Company chosen
    P Company is the notoriously demanding selection course used to assess and prepare candidates for service in the British Army’s Parachute Regiment.
  • B. John Company
    John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • C. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • D. Company C
    Company C is a subordinate rifle company within the U.S. Army’s 1st Battalion, 121st Infantry Regiment, typically composed of infantry soldiers organized for frontline combat operations.
  • E. Canada Company
    Canada Company was a 19th-century British land development firm that played a major role in colonizing and settling parts of Upper Canada (now Ontario).
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.