Triple
T4591988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Stony Point |
E103512
|
entity |
| Predicate | isCommunityType |
P3292
|
FINISHED |
| Object | small Hudson River community |
—
|
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: small Hudson River community | Statement: [Town of Stony Point, isCommunityType, small Hudson River community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommunityType Context triple: [Town of Stony Point, isCommunityType, small Hudson River community]
-
A.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
B.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
C.
isGatewayCommunityFor
Indicates that one community serves as an entry point, access hub, or primary connection for another community or larger region.
-
D.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
E.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592520ec8190b1bd4cb4d9b94c94 |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:11 p.m.