Triple

T18850208
Position Surface form Disambiguated ID Type / Status
Subject PPD E461018 entity
Predicate mainRival P22658 FINISHED
Object PNP 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: PNP | Statement: [PPD, mainRival, PNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNP
Context triple: [PPD, mainRival, PNP]
  • A. PNP
    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 chosen
    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 (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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f27cf481908c60fcdce412a224 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.