Triple

T4408639
Position Surface form Disambiguated ID Type / Status
Subject Order of Orange-Nassau E94795 entity
Predicate hasPostnominal P1610 FINISHED
Object OON E94795 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: OON | Statement: [Order of Orange-Nassau, hasPostnominal, OON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OON
Context triple: [Order of Orange-Nassau, hasPostnominal, OON]
  • A. OON chosen
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • C. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • D. OOL
    OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
  • E. the O
    The O is MONA’s custom digital guide app that provides visitors with interactive information, commentary, and navigation throughout the Museum of Old and New Art.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3548cb92881908a3f98466da8e0a2 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136149ac8190a7cfd866bacc809f completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:28 p.m.