Triple

T9313101
Position Surface form Disambiguated ID Type / Status
Subject F-root E224051 entity
Predicate operatorAbbreviation P43 FINISHED
Object ISC unclear NED1 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: ISC | Statement: [F-root, operatorAbbreviation, ISC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISC
Context triple: [F-root, operatorAbbreviation, ISC]
  • A. ISC
    ISC is the commonly used abbreviation for the International Science Council, a global non-governmental organization that advances and coordinates international scientific research and policy.
  • B. ISC
    ISC is the commonly used abbreviation for the Independent Schools Council, a representative body for independent schools in the United Kingdom.
  • C. ISC
    ISC is the abbreviated name for the Integrated Sciences Complex, a facility dedicated to interdisciplinary scientific research and education.
  • D. ISC
    ISC is an acronym commonly used to refer to an Information Security Center, an organization or unit focused on protecting information systems and data from security threats.
  • E. ICS
    ICS is the Donald Bren School of Information and Computer Sciences at the University of California, Irvine, a leading academic unit focused on computer science, informatics, and statistics education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.