Triple
T13279956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Island MacArthur Airport |
E316293
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ronkonkoma |
E104305
|
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: Ronkonkoma | Statement: [Long Island MacArthur Airport, locatedIn, Ronkonkoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronkonkoma Context triple: [Long Island MacArthur Airport, locatedIn, Ronkonkoma]
-
A.
Ronkonkoma
chosen
Ronkonkoma is a hamlet in Suffolk County, New York, known as a major transportation hub on central Long Island.
-
B.
Copiague
Copiague is a hamlet on Long Island in Suffolk County, New York, known as a suburban residential community within the town of Babylon.
-
C.
Taghkanic, New York
Taghkanic, New York is a small rural town in eastern New York State known for its scenic landscapes and proximity to the Taconic Mountains.
-
D.
Glen Haven
Glen Haven is a small community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Pine Island, New York
Pine Island, New York is a rural hamlet in the town of Warwick known for its fertile "Black Dirt" farmland and onion production.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a56fa048190b32dcef31b978d9c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:27 p.m.