Triple

T15044431
Position Surface form Disambiguated ID Type / Status
Subject Ents Officer E379186 entity
Predicate associatedWith P37 FINISHED
Object JCR E379184 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: JCR | Statement: [Ents Officer, associatedWith, JCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JCR
Context triple: [Ents Officer, associatedWith, JCR]
  • A. JCR chosen
    JCR is a common term at British universities, especially Oxford and Cambridge, for the undergraduate student body and its associated common room and representative organization.
  • B. Journal Citation Reports
    Journal Citation Reports is an annual publication that provides impact factors and other citation-based metrics to evaluate and compare academic journals across disciplines.
  • C. SJR
    SJR (SCImago Journal Rank) is a widely used bibliometric indicator that evaluates the scientific influence and prestige of academic journals by accounting for both the number and importance of citations they receive.
  • D. SJR
    SJR is the stock ticker symbol for Shaw Communications, a Canadian telecommunications company providing cable, internet, and related services.
  • E. SCImago Journal Rank
    SCImago Journal Rank is a scientometric indicator that measures the influence and prestige of academic journals by accounting for both the number of citations received and the importance of the citing sources.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.