Triple
T1481224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Creek State Park |
E30959
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Buck Creek |
E73523
|
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: Buck Creek | Statement: [Buck Creek State Park, namedAfter, Buck Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buck Creek Context triple: [Buck Creek State Park, namedAfter, Buck Creek]
-
A.
Buck Creek
chosen
Buck Creek is a river in western Ohio that flows through the city of Springfield and is used for recreation, flood control, and local water management.
-
B.
Buck Creek
Buck Creek is a stream in central Alabama known for flowing through the city of Helena and serving as a local natural and recreational feature.
-
C.
Schell Creek
Schell Creek is a stream in eastern Nevada that flows through the Schell Creek Range and contributes to the region’s high-desert watershed.
-
D.
Buffalo Creek
Buffalo Creek is a waterway whose name inspired that of the city of Buffalo in New York.
-
E.
Cascadilla Creek
Cascadilla Creek is a small stream in Ithaca, New York, that flows through the scenic Cascadilla Gorge with numerous waterfalls and cascades before emptying into Cayuga Lake.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f0a6f588190a8a61ab47a858118 |
completed | March 12, 2026, 12:55 a.m. |
Created at: March 1, 2026, 8:11 p.m.