Triple
T15403117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Creek (Muskegon River tributary) |
E368375
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Cedar Creek |
—
|
NE NERFINISHED |
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: Cedar Creek | Statement: [Cedar Creek (Muskegon River tributary), hasName, Cedar Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar Creek Context triple: [Cedar Creek (Muskegon River tributary), hasName, Cedar Creek]
-
A.
Cedar Creek
chosen
Cedar Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
B.
Cedar Creek
Cedar Creek is a stream in Virginia best known for flowing beneath the famous Natural Bridge rock formation.
-
C.
Cedar Creek
Cedar Creek is a tributary stream in San Diego County, California, known for feeding into the San Diego River and for nearby natural features like Cedar Creek Falls.
-
D.
Cedar Creek
Cedar Creek is a winding waterway in South Carolina that flows through the old-growth floodplain forests of Congaree National Park, supporting rich biodiversity and popular paddling routes.
-
E.
Yule Creek
Yule Creek is a stream whose name is commemorated in the surrounding Yule Creek Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
Created at: April 10, 2026, 3:19 a.m.