Triple
T25048976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Ancram, New York |
E627322
|
entity |
| Predicate | isPrimarilyZonedFor |
P162856
|
FINISHED |
| Object | agricultural and residential uses |
—
|
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: agricultural and residential uses | Statement: [Town of Ancram, New York, isPrimarilyZonedFor, agricultural and residential uses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimarilyZonedFor Context triple: [Town of Ancram, New York, isPrimarilyZonedFor, agricultural and residential uses]
-
A.
zonedTo
Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
-
B.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
C.
isLocatedInTimeZoneRegion
Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
-
D.
hasZoneStatus
Indicates that a specified zone currently possesses a particular status or condition.
-
E.
usesZoning
Indicates that one entity applies or relies on a zoning scheme, classification, or regulations established or provided by another entity.
- F. None of above. chosen
Provenance (4 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 18, 2026, 6:08 a.m.