Triple
T25137158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Hancock, New York |
E629689
|
entity |
| Predicate | hasConfluenceNearby |
P174216
|
FINISHED |
| Object | confluence of East and West Branches of the Delaware River |
—
|
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: confluence of East and West Branches of the Delaware River | Statement: [Town of Hancock, New York, hasConfluenceNearby, confluence of East and West Branches of the Delaware River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfluenceNearby Context triple: [Town of Hancock, New York, hasConfluenceNearby, confluence of East and West Branches of the Delaware River]
-
A.
hasNearbyCove
Indicates that one location is situated close to a small sheltered bay or cove.
-
B.
isConfluenceAtCity
Indicates that the confluence (meeting point) of two or more water bodies occurs at or within the specified city.
-
C.
hasConfluencePointAt
chosen
Indicates that two or more flows, paths, or entities meet and merge at a specific point.
-
D.
hasNearbyCommon
Indicates that two entities share at least one common element, feature, or connection that is located within a specified nearby distance or vicinity.
-
E.
hasNearbyMode
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 18, 2026, 6:29 a.m.