Triple
T25048965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Ancram, New York |
E627322
|
entity |
| Predicate | isInHudsonRiverWatershed |
P17416
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Town of Ancram, New York, isInHudsonRiverWatershed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInHudsonRiverWatershed Context triple: [Town of Ancram, New York, isInHudsonRiverWatershed, true]
-
A.
hasBoroughAcrossHudson
Indicates that one entity has a borough or administrative subdivision located on the opposite side of the Hudson River from another referenced entity.
-
B.
isHistoricHudsonRiverCommunity
Indicates that a community is historically recognized as part of the Hudson River region, often due to its cultural, architectural, or historical significance tied to the river.
-
C.
isRiverside
Indicates that one entity is located beside or along the bank of a river in relation to another entity.
-
D.
isRiversideRangeOf
Indicates that something is a range or stretch of land that lies along the side of a river.
-
E.
hasWatershed
chosen
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4549e7df48190aa0642008f748314 |
completed | May 1, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.