Triple
T14709214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemhi Shoshone |
E345502
|
entity |
| Predicate | governmentRelocation |
P12442
|
FINISHED |
| Object | relocation to Fort Hall 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: relocation to Fort Hall Reservation | Statement: [Lemhi Shoshone, governmentRelocation, relocation to Fort Hall Reservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentRelocation Context triple: [Lemhi Shoshone, governmentRelocation, relocation to Fort Hall Reservation]
-
A.
relocatedWithin
Indicates that an entity has moved from one location to another while remaining within the same broader area or jurisdiction.
-
B.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
C.
governmentAction
chosen
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
D.
cityRelocationStatus
Indicates the status or stage of a city’s relocation process from one place to another.
-
E.
administrativeCenterMovedFrom
Indicates that the role of administrative center was previously located in one place and has been transferred or relocated from that original location to another.
- 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_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. |
Created at: April 10, 2026, 1:28 a.m.