Triple

T16960514
Position Surface form Disambiguated ID Type / Status
Subject PNP E411414 entity
Predicate abbreviation P43 FINISHED
Object PNP E742275 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: PNP | Statement: [PNP, abbreviation, PNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNP
Context triple: [PNP, abbreviation, PNP]
  • A. PNP chosen
    PNP is the national police force of the Philippines responsible for law enforcement, crime prevention, and public safety across the country.
  • B. 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.
  • C. PNP
    PNP is a major social-democratic political party in Jamaica known formally as the People's National Party.
  • D. PNP
    PNP is the station code for Panipat Junction, a major railway hub in the Indian state of Haryana.
  • E. PN
    PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01f9ba881908dc8820b92869a63 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.