Triple
T15946318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oneida County |
E386691
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oriskany Creek |
E1130890
|
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: Oriskany Creek | Statement: [Oneida County, contains, Oriskany Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oriskany Creek Context triple: [Oneida County, contains, Oriskany Creek]
-
A.
Oriskany Creek
chosen
Oriskany Creek is a stream in central New York State that flows through Oneida County and is a tributary of the Mohawk River.
-
B.
Schoharie Creek
Schoharie Creek is a major tributary in eastern New York that drains the northern Catskill Mountains before joining 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.
Poesten Kill
Poesten Kill is a small river and tributary of the Hudson River that flows through Troy in Rensselaer County, New York.
-
E.
Oswego Creek
Oswego Creek is a stream in Oregon that drains Oswego Lake and flows into the Willamette 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46d180c81909be66f628d1bdf72 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:53 a.m.