Triple

T9645187
Position Surface form Disambiguated ID Type / Status
Subject Chief of the Air Staff (Pakistan) E233175 entity
Predicate abbreviation P43 FINISHED
Object CAS E69402 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: CAS | Statement: [Chief of the Air Staff (Pakistan), abbreviation, CAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAS
Context triple: [Chief of the Air Staff (Pakistan), abbreviation, CAS]
  • A. CAS chosen
    CAS is the commonly used abbreviation for the Chief of the Air Staff, the professional head of an air force in several countries.
  • B. CAS
    CAS is the College of Arts & Sciences at Boston University, the university’s largest academic division offering a wide range of undergraduate and graduate programs in the liberal arts and sciences.
  • C. CAS
    CAS is the abbreviation for the International Labour Organization’s Committee on the Application of Standards, a key supervisory body that reviews how countries implement ILO conventions.
  • D. CAS
    CAS is the National Rail station code for Castleton railway station in Greater Manchester, England.
  • E. CAS
    CAS is an international institution that settles sports-related disputes through arbitration and mediation, often referred to as the "supreme court" of sport.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.