Triple

T18914458
Position Surface form Disambiguated ID Type / Status
Subject Purdue University Airport E462689 entity
Predicate FAAcode P420 FINISHED
Object LAF 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: LAF | Statement: [Purdue University Airport, FAAcode, LAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAF
Context triple: [Purdue University Airport, FAAcode, LAF]
  • A. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • B. LAF chosen
    LAF is the IATA airport code for Purdue University Airport, a public airport serving West Lafayette, Indiana, and the surrounding region.
  • C. LAF
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • D. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • E. LAC
    LAC is the Large Area Counter, a primary X-ray detection instrument used on the Japanese Ginga astronomy satellite to study cosmic X-ray sources.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c625b4fc8190a9dda6e76afa573e completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.