Triple

T22576720
Position Surface form Disambiguated ID Type / Status
Subject Marco Polo E544419 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object OC 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: OC | Statement: [Marco Polo, hasCollaboratedWith, OC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OC
Context triple: [Marco Polo, hasCollaboratedWith, OC]
  • A. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • B. OC
    OC is a private Christian university in Oklahoma known for integrating faith-based education with a range of undergraduate and graduate academic programs.
  • C. OC chosen
    OC is an American rapper best known as a member of the Diggin' in the Crates Crew (D.I.T.C.) and for his acclaimed 1994 debut album "Word...Life."
  • D. OCYP
    OCYP is the acronym for the Office of Child and Youth Protection, an organization focused on safeguarding the welfare and rights of children and young people.
  • E. OCOL
    OCOL is the federal Canadian agency responsible for promoting and protecting the country’s official languages and ensuring compliance with the Official Languages Act.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fedbddc8190bc50458a76f5407d completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.