Triple
T14709222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemhi Shoshone |
E345502
|
entity |
| Predicate | federalPolicyImpact |
P115454
|
FINISHED |
| Object | termination of Lemhi Reservation |
—
|
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: termination of Lemhi Reservation | Statement: [Lemhi Shoshone, federalPolicyImpact, termination of Lemhi Reservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalPolicyImpact Context triple: [Lemhi Shoshone, federalPolicyImpact, termination of Lemhi Reservation]
-
A.
effectOnFederalPower
Indicates how an action, decision, or condition changes, limits, or expands the authority or powers of the federal government.
-
B.
influencedPolicyArea
Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
-
C.
federal
Indicates a relationship in which an entity is associated with, governed by, or belonging to a national-level (federal) government or system, as opposed to local or regional authorities.
-
D.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
E.
legislativeImpact
Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.