Triple
T27209809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanblee, South Dakota |
E683966
|
entity |
| Predicate | nearestMajorReservationCenter |
P69303
|
FINISHED |
| Object | Pine Ridge, South Dakota |
—
|
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: Pine Ridge, South Dakota | Statement: [Wanblee, South Dakota, nearestMajorReservationCenter, Pine Ridge, South Dakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorReservationCenter Context triple: [Wanblee, South Dakota, nearestMajorReservationCenter, Pine Ridge, South Dakota]
-
A.
nearestMajorReservation
chosen
Indicates that one entity is the closest significant reservation (such as a large protected or designated area) to another entity in terms of distance.
-
B.
nearestMajorCenter
Indicates that one location is the closest significant urban or population center relative to another location.
-
C.
nearestTownCenter
Indicates that one location is the closest town center to another specified point or area.
-
D.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
-
E.
nearestArea
Indicates that one area is the closest in distance to a given reference point or region compared to all other candidate areas.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 9:39 a.m.