Triple
T34847664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poker Flat, California |
E1004513
|
entity |
| Predicate | regionOfFictionalState |
P136812
|
FINISHED |
| Object | Northern California Sierra Nevada |
—
|
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: Northern California Sierra Nevada | Statement: [Poker Flat, California, regionOfFictionalState, Northern California Sierra Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFictionalState Context triple: [Poker Flat, California, regionOfFictionalState, Northern California Sierra Nevada]
-
A.
stateOfFictionalLocation
Indicates that a fictional location is situated within or belongs to a particular state or state-like administrative region.
-
B.
regionOfState
Indicates that one administrative or geographical region is a subdivision or part of a larger state.
-
C.
fictionalGeographicRegion
Indicates that a geographic region exists only in fiction or imagination rather than in the real world.
-
D.
belongsToFictionalRegion
chosen
Indicates that an entity is located within, associated with, or under the jurisdiction of a fictional or imaginary geographic region.
-
E.
fictionalSettingRegion
Indicates that a fictional setting is located within or associated with a specific geographic or administrative region.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4 p.m.