Triple
T6491909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehama County |
E148059
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tehama |
E598565
|
NE 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: Tehama | Statement: [Tehama County, hasCity, Tehama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tehama Context triple: [Tehama County, hasCity, Tehama]
-
A.
Tehama
chosen
Tehama is a city in Northern California that serves as the namesake for Tehama County.
-
B.
Tehama County
Tehama County is a largely rural county in northern California known for its agricultural lands and proximity to natural attractions such as Lassen Volcanic National Park.
-
C.
Madera
Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
-
D.
Coalinga
Coalinga is a small city in California’s San Joaquin Valley known historically for oil production and its proximity to the Diablo Range.
-
E.
Washoe
Washoe are a Native American people indigenous to the eastern Sierra Nevada region around Lake Tahoe, known for their distinct language and traditional hunter-gatherer lifestyle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6857a8f188190ab3eaac5d3f87473 |
completed | March 27, 2026, 1:26 p.m. |
Created at: March 22, 2026, 4:53 p.m.