Triple

T10867495
Position Surface form Disambiguated ID Type / Status
Subject Civil Contingencies Secretariat E256562 entity
Predicate supportsBody P4565 FINISHED
Object COBR E256561 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: COBR | Statement: [Civil Contingencies Secretariat, supportsBody, COBR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COBR
Context triple: [Civil Contingencies Secretariat, supportsBody, COBR]
  • A. COBR chosen
    COBR is the commonly used acronym for the United Kingdom government’s emergency response committee that convenes in the Cabinet Office Briefing Rooms to coordinate crisis management.
  • B. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • C. Cobra R
    The Cobra R is an ultra-high-performance, track-focused limited-edition version of the Ford Mustang produced by Ford’s SVT division.
  • D. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • E. CUB
    CUB is the stock ticker symbol for Cubic Corporation, a technology and services company known for its transportation and defense solutions.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516e15448190aefdba1aa635baea completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d7b32081909dd5f8ae3fe293be completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.