Triple

T2660685
Position Surface form Disambiguated ID Type / Status
Subject Cargo Account Settlement Systems E54718 entity
Predicate abbreviation P43 FINISHED
Object CASS E54719 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: CASS | Statement: [Cargo Account Settlement Systems, abbreviation, CASS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CASS
Context triple: [Cargo Account Settlement Systems, abbreviation, CASS]
  • A. CASS chosen
    CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
  • B. CCAS
    CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
  • C. CASA
    CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
  • D. CCA
    CCA is the ICAO airline designator used to identify Air China in international aviation operations.
  • E. CCA
    CCA is the highest state court in Texas for criminal cases, serving as the court of last resort for all criminal matters in the state.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd9504d10819091abc03532a2fa6d completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d9d7148190841bac9589a3815b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.