Triple

T7276245
Position Surface form Disambiguated ID Type / Status
Subject Elmira/Corning Regional Airport E163036 entity
Predicate IATA code P2569 FINISHED
Object ELM
ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
 E653271 NE FINISHED

How this triple was built (4 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, IATA code, ELM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELM
Context triple: [Elmira/Corning Regional Airport, IATA code, ELM]
  • A. ELC
    ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
  • B. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • C. 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.
  • D. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • E. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ELM
Triple: [Elmira/Corning Regional Airport, IATA code, ELM]
Generated description
ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELM
Target entity description: ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
  • A. ELC
    ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
  • B. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • C. 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.
  • D. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • E. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • F. None of above. chosen

Provenance (5 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_69c7db2c76fc81909632c7ee4e54f81c completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dc1469e08190a0b2b924884885e6 completed March 28, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7dca05ad081908e2036ba6c909c09 completed March 28, 2026, 1:50 p.m.
Created at: March 27, 2026, 2:59 p.m.