Triple
T2674016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Bay |
E56414
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Benicia |
E213826
|
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: Benicia | Statement: [North Bay, includesCity, Benicia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benicia Context triple: [North Bay, includesCity, Benicia]
-
A.
Benicia
chosen
Benicia is a small historic waterfront city in Solano County, California, known for its former role as a state capital and its preserved downtown and arts community.
-
B.
San Luis Obispo
San Luis Obispo is a small coastal city in California known for its historic downtown, nearby beaches and wineries, and its location along the scenic Highway 1 between Los Angeles and San Francisco.
-
C.
Daly City
Daly City is a suburban city just south of San Francisco in San Mateo County, California, known for its diverse population and role as a major residential and commercial hub in the Bay Area.
-
D.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
E.
Santa Rosa
Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b228cc819097f045b4a51d8e7c |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe88d510c81908cdd3337e0eaca2c |
completed | March 10, 2026, 9:46 a.m. |
Created at: March 6, 2026, 9:54 p.m.