Triple
T32892608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonachie, New Jersey |
E841375
|
entity |
| Predicate | regionalAirportAssociation |
P58803
|
FINISHED |
| Object | Teterboro Airport-related businesses |
—
|
LITERAL 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: Teterboro Airport-related businesses | Statement: [Moonachie, New Jersey, regionalAirportAssociation, Teterboro Airport-related businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalAirportAssociation Context triple: [Moonachie, New Jersey, regionalAirportAssociation, Teterboro Airport-related businesses]
-
A.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
B.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
C.
otherRegionalAirports
Indicates that the entities are airports located in different regions from each other but considered as alternative or comparable regional airports.
-
D.
isRegionalAirport
Indicates that an airport serves a specific region or local area rather than functioning as a major national or international hub.
-
E.
associatedAirport
chosen
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
- F. None of above.
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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:18 a.m.