Triple
T27397350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almont, Colorado |
E691723
|
entity |
| Predicate | riverFormsAtConfluence |
P67263
|
FINISHED |
| Object | Gunnison River |
—
|
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: Gunnison River | Statement: [Almont, Colorado, riverFormsAtConfluence, Gunnison River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverFormsAtConfluence Context triple: [Almont, Colorado, riverFormsAtConfluence, Gunnison River]
-
A.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
B.
riverFormed
chosen
Indicates that a river came into existence or was created, typically as a result of natural geological or hydrological processes.
-
C.
locatedAtConfluenceOf
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
D.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
E.
raceRiver
Indicates that an entity participates in a race that takes place on or along a river.
- F. None of above.
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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 12:28 p.m.