Triple
T3152269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn/Lewiston Municipal Airport |
E65902
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | LEW |
E330967
|
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: LEW | Statement: [Auburn/Lewiston Municipal Airport, FAA LID, LEW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEW Context triple: [Auburn/Lewiston Municipal Airport, FAA LID, LEW]
-
A.
LEW
chosen
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
B.
Lew
Lew is a surname most prominently associated with Jack Lew, the former U.S. Secretary of the Treasury.
-
C.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
-
D.
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.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- 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_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_69b235bf4a008190ba6264103a9d67b7 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:05 p.m.