Triple

T13462840
Position Surface form Disambiguated ID Type / Status
Subject Uvalde Municipal Airport E311414 entity
Predicate ICAOCode P419 FINISHED
Object KUVA E631191 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: KUVA | Statement: [Uvalde Municipal Airport, ICAOCode, KUVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KUVA
Context triple: [Uvalde Municipal Airport, ICAOCode, KUVA]
  • A. KUVA chosen
    KUVA is the ICAO airport code for Garner Field Airport, a public-use airfield serving Uvalde, Texas.
  • B. KUV
    KUV is the IATA airport code for Kunsan Air Base, a United States Air Force installation located in South Korea.
  • C. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • D. Kuvi
    Kuvi is a Dravidian language spoken primarily by the Kuvi tribal communities in parts of Odisha and Andhra Pradesh in India.
  • E. KU2
    KU2 is the stock ticker symbol for KUKA, a German industrial robotics and automation company.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0d95fc81909d9f73d5315dc7b4 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a2c75c819093765eb9d0d2377e completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.