Triple
T26079583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarahumara (Rarámuri) cultural area |
E657793
|
entity |
| Predicate | hasCenterNearby |
P84435
|
FINISHED |
| Object | Creel |
—
|
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: Creel | Statement: [Tarahumara (Rarámuri) cultural area, hasCenterNearby, Creel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenterNearby Context triple: [Tarahumara (Rarámuri) cultural area, hasCenterNearby, Creel]
-
A.
hasRegionalCenterNearby
chosen
Indicates that a regional center is located in close proximity to the referenced entity.
-
B.
hasCenterIn
Indicates that something is located, based, or primarily focused within a specified central place or area.
-
C.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
D.
hasNearbyBase
Indicates that one entity has a base or facility located in close physical proximity to another entity or location.
-
E.
hasCoordinateInCityCentreApprox
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 7:37 p.m.