Triple

T7276247
Position Surface form Disambiguated ID Type / Status
Subject Elmira/Corning Regional Airport E163036 entity
Predicate FAA LID P420 FINISHED
Object ELM E653271 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: ELM | Statement: [Elmira/Corning Regional Airport, FAA LID, ELM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ELM
Context triple: [Elmira/Corning Regional Airport, FAA LID, ELM]
  • A. ELM chosen
    ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
  • B. ELC
    ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
  • C. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • D. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • E. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb2f239c819097c1ac4d6de8b0e5 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e52f96008190886f6115329a07ab completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:59 p.m.