Triple

T3152267
Position Surface form Disambiguated ID Type / Status
Subject Auburn/Lewiston Municipal Airport E65902 entity
Predicate IATA code P2569 FINISHED
Object LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
 E330967 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: LEW | Statement: [Auburn/Lewiston Municipal Airport, IATA code, LEW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEW
Context triple: [Auburn/Lewiston Municipal Airport, IATA code, LEW]
  • A. Lew
    Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. leu
    The leu is the monetary unit historically used in the Danubian Principalities and later adopted as the national currency of both Romania and Moldova.
  • 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: LEW
Triple: [Auburn/Lewiston Municipal Airport, IATA code, LEW]
Generated description
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEW
Target entity description: LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
  • A. Lew
    Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. leu
    The leu is the monetary unit historically used in the Danubian Principalities and later adopted as the national currency of both Romania and Moldova.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250088c48190a226031afda38d87 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225896c4c81909e875a2d357e7bc5 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b226000fe88190b73f34e73e85ff48 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.