Triple
T16645954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Kill |
E404470
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Schoharie Creek |
E85805
|
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: Schoharie Creek | Statement: [East Kill, tributaryOf, Schoharie Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schoharie Creek Context triple: [East Kill, tributaryOf, Schoharie Creek]
-
A.
Schoharie Creek
chosen
Schoharie Creek is a major tributary in eastern New York that drains the northern Catskill Mountains before joining the Mohawk River.
-
B.
Oriskany Creek
Oriskany Creek is a stream in central New York State that flows through Oneida County and is a tributary of the Mohawk River.
-
C.
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.
-
D.
Cattaraugus Creek
Cattaraugus Creek is a significant stream in western New York known for forming part of the boundary of the Cattaraugus Reservation and for its popular steelhead and trout fishing.
-
E.
Honeoye Creek
Honeoye Creek is a stream in western New York that drains Honeoye Lake and flows northward as part of the Genesee River watershed.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad59540819093765b7a67320f72 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29465188190a2ba6e3a7b695de3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:18 a.m.