Triple
T15540854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickery Creek Trail |
E370469
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Big 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: Big Creek | Statement: [Vickery Creek Trail, follows, Big Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Creek Context triple: [Vickery Creek Trail, follows, Big Creek]
-
A.
Big Creek
Big Creek is a stream that serves as the primary outlet for water flowing from Big Creek Lake.
-
B.
Big Creek
Big Creek is a smaller stream in Washington State that feeds into the Suiattle River within the Cascade Range watershed.
-
C.
Big Creek
Big Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
-
D.
Big Creek
Big Creek is a stream in Kansas that flows through Ellis and serves as a local natural waterway in the region.
-
E.
Bigelow Creek
Bigelow Creek is a smaller stream in Michigan that feeds into the Muskegon River and supports local freshwater ecosystems and recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
Created at: April 10, 2026, 4:07 a.m.