Triple
T4746454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federated Indians of Graton Rancheria |
E105369
|
entity |
| Predicate | peopleCountDescriptor |
P58523
|
FINISHED |
| Object | small tribe |
—
|
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: small tribe | Statement: [Federated Indians of Graton Rancheria, peopleCountDescriptor, small tribe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peopleCountDescriptor Context triple: [Federated Indians of Graton Rancheria, peopleCountDescriptor, small tribe]
-
A.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
-
B.
guestCountApproximate
Indicates that the number of guests involved is represented as an estimated or approximate count rather than an exact figure.
-
C.
peopleGroupWithin
Indicates that one group of people is geographically or organizationally contained within another group of people.
-
D.
peopleGroupOf
Indicates that one entity is a group or collection composed of the people represented by the other entity.
-
E.
passengersCountApproximate
Indicates that the number of passengers involved is given as an approximate or estimated count rather than an exact figure.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6424a1d08190ac1d5fc574dc1b55 |
completed | March 20, 2026, 3:13 p.m. |
Created at: March 20, 2026, 1:20 p.m.