Triple
T21100236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquebogue |
E519881
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Jamesport |
—
|
NE NERFINISHED |
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: Jamesport | Statement: [Aquebogue, adjacentTo, Jamesport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamesport Context triple: [Aquebogue, adjacentTo, Jamesport]
-
A.
Jamesport
chosen
Jamesport is a small coastal hamlet and wine-country community on Long Island’s North Fork in New York.
-
B.
Stone Harbor
Stone Harbor is a small, upscale seaside resort town on the southern New Jersey coast known for its beaches, bird sanctuary, and family-oriented vacation atmosphere.
-
C.
Wyandanch
Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
-
D.
Keyport
Keyport is a small waterfront community in Kitsap County, Washington, known for its naval undersea warfare facilities and marina on the Kitsap Peninsula.
-
E.
Portswood
Portswood is a residential and commercial suburb of Southampton, England, known for its student population, local shopping area, and proximity to the University of Southampton.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5cef408190821d345417b77116 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.