Triple
T6918198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson River watershed |
E160116
|
entity |
| Predicate | includesRiver |
P165
|
FINISHED |
| Object | Poesten Kill |
E273068
|
NE 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: Poesten Kill | Statement: [Hudson River watershed, includesRiver, Poesten Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poesten Kill Context triple: [Hudson River watershed, includesRiver, Poesten Kill]
-
A.
Poesten Kill
chosen
Poesten Kill is a small river and tributary of the Hudson River that flows through Troy in Rensselaer County, New York.
-
B.
Vernooy Kill
Vernooy Kill is a stream in New York’s Catskill region known for its scenic waterfalls and role as a tributary within the local Hudson River watershed.
-
C.
Batten Kill
Batten Kill is a renowned trout-fishing river in the northeastern United States that flows through Vermont and New York before joining the Hudson River.
-
D.
Oneida Creek
Oneida Creek is a stream in central New York State that drains part of the region’s watershed and empties into Oneida Lake.
-
E.
Schoharie Creek
Schoharie Creek is a major tributary in eastern New York that drains the northern Catskill Mountains before joining the Mohawk River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e17ea08190b8c4142af8adfba0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa5cf190819093f3dc9513361e49 |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 2:26 p.m.