Triple

T23426916
Position Surface form Disambiguated ID Type / Status
Subject CAMRE E563218 entity
Predicate shortName P43 FINISHED
Object CAMRE 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: CAMRE | Statement: [CAMRE, shortName, CAMRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAMRE
Context triple: [CAMRE, shortName, CAMRE]
  • A. CAMRE chosen
    CAMRE is the acronym for the Council of Arab Ministers Responsible for the Environment, the Arab League body coordinating regional environmental policy and cooperation.
  • B. CAMTR
    CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
  • C. CAMPA
    CAMPA is an Indian government authority responsible for managing and overseeing funds and activities related to compensatory afforestation and forest conservation.
  • D. CAMI
    CAMI is the abbreviated name for the Council of Arab Ministers of Interior, a regional body coordinating interior and security policies among Arab states.
  • E. CAMS
    CAMS (Confederation of Australian Motor Sport) is the former national governing body for four-wheeled motorsport in Australia, responsible for sanctioning events, licensing competitors, and administering racing regulations.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54a28a08190add6184a44c5005b completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:47 p.m.