Triple
T3939905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenwood, California |
E92008
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Santa Rosa, California |
E27583
|
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: Santa Rosa, California | Statement: [Kenwood, California, locatedBetween, Santa Rosa, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa, California Context triple: [Kenwood, California, locatedBetween, Santa Rosa, California]
-
A.
Santa Rosa
chosen
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
B.
Santa Rosa
Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
-
C.
Sonoma, California
Sonoma, California is a historic city in California's Wine Country known for its vineyards, colonial-era plaza, and role in the early history of the state.
-
D.
Petaluma, California
Petaluma, California is a historic city in the North Bay region of the San Francisco Bay Area known for its well-preserved downtown, agricultural roots, and proximity to wine country.
-
E.
Santa Cruz, California
Santa Cruz, California is a coastal city in Northern California known for its surf culture, beach boardwalk, and progressive university community.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338d9a7c8190ac5960eab5ae2ada |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.