Triple
T37028069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atsina |
E916409
|
entity |
| Predicate | notableEconomicActivityOnReservation |
P133571
|
FINISHED |
| Object | ranching |
—
|
LITERAL FINISHED |
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: ranching | Statement: [Atsina, notableEconomicActivityOnReservation, ranching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEconomicActivityOnReservation Context triple: [Atsina, notableEconomicActivityOnReservation, ranching]
-
A.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
-
B.
economicSectorSourceOfWealth
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
C.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
D.
partOfLocalEconomy
Indicates that an entity contributes to, participates in, or is integrated within the economic activities of a specific local area or community.
-
E.
notableIndustryInArea
chosen
Indicates that a particular industry is especially prominent, significant, or well-known within a given geographic area.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.