Triple

T15342301
Position Surface form Disambiguated ID Type / Status
Subject Order of Logohu E366824 entity
Predicate hasPostNominal P1610 FINISHED
Object OL E366824 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: OL | Statement: [Order of Logohu, hasPostNominal, OL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OL
Context triple: [Order of Logohu, hasPostNominal, OL]
  • A. OL
    OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
  • B. OL
    OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
  • C. OL
    OL is the vehicle registration code for the city of Oldenburg in the German state of Lower Saxony.
  • D. OL chosen
    OL is the post-nominal abbreviation used by recipients of Papua New Guinea’s Order of Logohu, a national honor recognizing distinguished service.
  • E. OL
    OL is the official abbreviation for the Order of Luthuli, a South African national honor awarded for exceptional contributions to democracy, human rights, and nation-building.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f55e9881908612c4e384836fb5 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.