Triple

T17401940
Position Surface form Disambiguated ID Type / Status
Subject Airbus A321neo E423110 entity
Predicate launchCustomer P13475 FINISHED
Object ILFC NE NERFINISHED

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: ILFC | Statement: [Airbus A321neo, launchCustomer, ILFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ILFC
Context triple: [Airbus A321neo, launchCustomer, ILFC]
  • A. ILFC chosen
    ILFC (International Lease Finance Corporation) was one of the world’s largest aircraft leasing companies, providing commercial jet leases to airlines globally.
  • B. IFC
    IFC is an American cable television channel known for airing offbeat comedies, cult films, and independent programming.
  • C. IFC
    IFC (Industry Foundation Classes) is an open, vendor-neutral data model standard used to enable interoperability and information exchange in Building Information Modeling (BIM) across different software platforms.
  • D. IFC
    IFC (Interface Clear) is a dedicated control line in the IEEE 488 (GPIB) interface used to reset and clear connected devices on the bus.
  • E. IFCU
    IFCU is the acronym for the International Federation of Catholic Universities, a global association that brings together Catholic higher education institutions for collaboration in teaching, research, and service.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b046ad88190a95bbeda4e602514 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.