Triple

T8294095
Position Surface form Disambiguated ID Type / Status
Subject EADS CASA E193971 entity
Predicate predecessor P97 FINISHED
Object CASA E37410 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: CASA | Statement: [EADS CASA, predecessor, CASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CASA
Context triple: [EADS CASA, predecessor, CASA]
  • A. CASA chosen
    CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
  • B. CASA
    CASA is the Australian government authority responsible for regulating civil aviation safety and enforcing air safety standards.
  • C. CASAM
    CASAM is the abbreviated name for the Council of Arab Ministers of Social Affairs, a regional body coordinating social policy and welfare initiatives among Arab states.
  • D. CASAC
    CASAC is a scientific advisory committee that provides independent expert advice to the U.S. Environmental Protection Agency on air quality standards and related health and environmental issues.
  • E. CASS
    CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6899b818819090c80a8eba7d5d4c completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.