Triple

T554386
Position Surface form Disambiguated ID Type / Status
Subject Chief of the Air Staff E11909 entity
Predicate hasAbbreviation 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, hasAbbreviation, CAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAS
Context triple: [Chief of the Air Staff, hasAbbreviation, 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. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • C. CASS
    CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
  • D. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • E. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991c524481908b2bb88c4feabec6 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e632e7c48190b211f7fcc4903dea completed March 2, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:32 p.m.