Triple
T3494802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California linguistic area |
E73824
|
entity |
| Predicate | involvesPopulation |
P2750
|
FINISHED |
| Object | indigenous peoples of California |
—
|
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: indigenous peoples of California | Statement: [California linguistic area, involvesPopulation, indigenous peoples of California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesPopulation Context triple: [California linguistic area, involvesPopulation, indigenous peoples of California]
-
A.
populationIncludes
chosen
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
B.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
C.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
D.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
E.
targetedPopulation
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaebed881909d9cbc9c4c1f138f |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.