Triple

T2764529
Position Surface form Disambiguated ID Type / Status
Subject KLGA E61302 entity
Predicate nearbyAirport P350 FINISHED
Object KEWR E63394 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: KEWR | Statement: [KLGA, nearbyAirport, KEWR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KEWR
Context triple: [KLGA, nearbyAirport, KEWR]
  • A. KEWR chosen
    KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
  • B. KODK
    KODK is the stock ticker symbol for Eastman Kodak Company, an American technology company historically known for its photography and imaging products.
  • C. KENW-FM
    KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
  • D. KDTW
    KDTW is the ICAO airport code for Detroit Metropolitan Wayne County Airport, a major international air transport hub serving the Detroit, Michigan metropolitan area.
  • E. KDEN
    KDEN is the ICAO airport code for Denver International Airport, a major U.S. air hub located in Denver, Colorado.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd541c2c8190a983a6f6a0b24ed9 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04630b8819081cd8ddac1d42184 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.