Triple
T7080736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teterboro Airport |
E164946
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | TEB |
E641183
|
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: TEB | Statement: [Teterboro Airport, FAA LID, TEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEB Context triple: [Teterboro Airport, FAA LID, TEB]
-
A.
TEB
chosen
TEB is the IATA airport code for Teterboro Airport, a major general aviation and corporate jet airport serving the New York City metropolitan area in New Jersey.
-
B.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
-
C.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f063488190b9e1c614a9294bd1 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8f11a48190a2a1f6ad99dc04b9 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:40 p.m.