Triple

T1459130
Position Surface form Disambiguated ID Type / Status
Subject Royal Ontario Museum E31468 entity
Predicate shortName P43 FINISHED
Object ROM E31468 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: ROM | Statement: [Royal Ontario Museum, shortName, ROM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROM
Context triple: [Royal Ontario Museum, shortName, ROM]
  • A. ROM chosen
    ROM is a major museum in Toronto, Canada, renowned for its extensive collections in natural history, world cultures, and art.
  • B. Rrom
    Rrom is a self-designation used by some Romani people to refer to themselves and their ethnic community.
  • C. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • D. Romana
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • E. Romano
    Romano Mussolini was an Italian jazz pianist and painter, known both for his musical career and for being the son of dictator Benito Mussolini.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e786a208190a57c4e1878c66517 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.