Triple

T7357544
Position Surface form Disambiguated ID Type / Status
Subject Etihad Airways E169662 entity
Predicate ICAOCode P419 FINISHED
Object ETD E169663 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: ETD | Statement: [Etihad Airways, ICAOCode, ETD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETD
Context triple: [Etihad Airways, ICAOCode, ETD]
  • A. ETD chosen
    ETD is the ICAO airline designator used to identify Etihad Airways in international aviation operations and communications.
  • B. UET
    UET is the IATA airport code for Quetta International Airport, serving the city of Quetta in Pakistan.
  • C. Rawdat al-Talibin
    Rawdat al-Talibin is a major Shafi'i Islamic jurisprudence manual by the medieval Syrian scholar Al-Nawawi, widely studied as an authoritative reference in Sunni legal scholarship.
  • D. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • E. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13bf2e881909bc95b93a5664a4f completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faaa8ec8819093bf6b4562472288 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.