Triple
T21857665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Southampton |
E539671
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Tuckahoe |
—
|
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: Tuckahoe | Statement: [Town of Southampton, containsSettlement, Tuckahoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuckahoe Context triple: [Town of Southampton, containsSettlement, Tuckahoe]
-
A.
Tuckahoe
chosen
Tuckahoe is an unincorporated community and historic village within Upper Township in Cape May County, New Jersey.
-
B.
Tuckahoe
Tuckahoe is a major suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to Richmond.
-
C.
Lullwater
Lullwater is a tranquil, wooded lakeside area and walking path within Brooklyn’s Prospect Park, known for its scenic views and wildlife.
-
D.
Pratts Bottom
Pratts Bottom is a small village in the London Borough of Bromley, England, known for its rural character and historic charm on the edge of Greater London.
-
E.
Sam’s Creek
Sam’s Creek is a smaller stream in Maryland that feeds into Double Pipe Creek as part of the Monocacy River watershed.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d638721c8190918fc6ad9c5d5bf6 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.