Triple

T7556094
Position Surface form Disambiguated ID Type / Status
Subject Philippine Navy E178668 entity
Predicate hasAcronym P43 FINISHED
Object PN E178668 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: PN | Statement: [Philippine Navy, hasAcronym, PN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PN
Context triple: [Philippine Navy, hasAcronym, PN]
  • A. PN chosen
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • C. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • D. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • E. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8d9ebe48190a08110695ce1eb55 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861579b048190a67f33cb87791e8b completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:49 p.m.