Triple
T38051176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hutchinson County, Texas |
E949762
|
entity |
| Predicate | areaWaterBody |
P1778
|
FINISHED |
| Object | Canadian 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: Canadian River | Statement: [Hutchinson County, Texas, areaWaterBody, Canadian River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaWaterBody Context triple: [Hutchinson County, Texas, areaWaterBody, Canadian River]
-
A.
addressesWaterBody
Indicates that an action, plan, or measure is directed toward managing, affecting, or dealing with a specific water body.
-
B.
waterAreaNowKnownAs
Indicates that a body of water previously known by another name or designation is currently recognized or referred to by a specified new name.
-
C.
bodyOfWater
chosen
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
formsBodyOfWater
Indicates that one entity constitutes or creates the physical substance or structure that makes up a particular body of water.
-
E.
landingBodyOfWater
Indicates that an entity (such as an aircraft or vessel) lands on or comes to rest upon a specified body of water.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.