Triple
T31694396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Elena Canyon |
E808879
|
entity |
| Predicate | riverThrough |
P27579
|
FINISHED |
| Object | Rio Grande |
—
|
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: Rio Grande | Statement: [Santa Elena Canyon, riverThrough, Rio Grande]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverThrough Context triple: [Santa Elena Canyon, riverThrough, Rio Grande]
-
A.
waterwayThrough
chosen
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
B.
riverManaged
Indicates that a river is subject to management, regulation, or oversight by a particular authority, organization, or system.
-
C.
riverContext
Indicates a contextual or situational relationship involving a river, such as its surrounding environment, conditions, or relevant circumstances.
-
D.
riverbedDivertedTo
Indicates that the natural course of a riverbed has been redirected or channeled toward another location or pathway.
-
E.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 30, 2026, 11:09 p.m.