Triple

T8340056
Position Surface form Disambiguated ID Type / Status
Subject Leesburg Executive Airport E195886 entity
Predicate FAAIdentifier P420 FINISHED
Object JYO E727949 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: JYO | Statement: [Leesburg Executive Airport, FAAIdentifier, JYO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JYO
Context triple: [Leesburg Executive Airport, FAAIdentifier, JYO]
  • A. JYO chosen
    JYO is the IATA airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia.
  • B. Yojo
    Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
  • C. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • D. JYH
    JYH is the ICAO airline designator assigned to the Chinese low-cost carrier 9 Air.
  • E. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd7a3888190b54306ed862aded4 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:57 p.m.