Triple
T25502103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanosh Reservation |
E639141
|
entity |
| Predicate | landBaseFor |
P158603
|
FINISHED |
| Object | Paiute Indian Tribe of Utah |
—
|
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: Paiute Indian Tribe of Utah | Statement: [Kanosh Reservation, landBaseFor, Paiute Indian Tribe of Utah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landBaseFor Context triple: [Kanosh Reservation, landBaseFor, Paiute Indian Tribe of Utah]
-
A.
landVariant
Indicates that one landform, terrain type, or land-related entity is an alternative or variant form of another.
-
B.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
C.
landLegSystem
Indicates a relationship where a landing system is specifically designed for or associated with a leg-based support or landing mechanism.
-
D.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
-
E.
Land
Indicates that an entity arrives onto and comes to rest on a surface or ground, typically from the air or another elevated position.
- F. None of above. chosen
Provenance (4 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f802b5f8819081583610e0c59421 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:45 p.m.