Triple
T33483004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisseton Dakota |
E857531
|
entity |
| Predicate | broaderNation |
P179867
|
FINISHED |
| Object | Oceti Sakowin (Seven Council Fires) |
—
|
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: Oceti Sakowin (Seven Council Fires) | Statement: [Sisseton Dakota, broaderNation, Oceti Sakowin (Seven Council Fires)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broaderNation Context triple: [Sisseton Dakota, broaderNation, Oceti Sakowin (Seven Council Fires)]
-
A.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
B.
nationalityInWorld
Indicates that an entity has a specific national affiliation or citizenship within the world context.
-
C.
expandedBeyondCountry
Indicates that an entity has grown or extended its operations, presence, or influence beyond the borders of its original country.
-
D.
mentionsNation
Indicates that one entity explicitly refers to or brings up a particular nation in some form of communication or content.
-
E.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:38 a.m.