Triple
T12084873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabin Creek Falls |
E287780
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Cabin Creek |
E1001748
|
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: Cabin Creek | Statement: [Cabin Creek Falls, watercourse, Cabin Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabin Creek Context triple: [Cabin Creek Falls, watercourse, Cabin Creek]
-
A.
Cabin Creek
chosen
Cabin Creek is a smaller stream in the western United States that feeds into the Belle Fourche River within the Missouri River watershed.
-
B.
Chikanishing Creek
Chikanishing Creek is a scenic waterway in Ontario’s Killarney Provincial Park, known for its rocky shoreline, canoeing routes, and access to Georgian Bay.
-
C.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
D.
Namozine Creek
Namozine Creek is a small waterway in Virginia that feeds into the Appomattox River and drains portions of the surrounding rural landscape.
-
E.
Sawmill Creek
Sawmill Creek is a smaller stream in Ontario, Canada, that feeds into the Trent River as part of its 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014819dfbc8190b39a10647f9ba64c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 8, 2026, 9:48 p.m.