Triple
T914860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pablo Bay |
E19744
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | San Rafael |
E171903
|
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: San Rafael | Statement: [San Pablo Bay, nearCity, San Rafael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Rafael Context triple: [San Pablo Bay, nearCity, San Rafael]
-
A.
San Rafael
chosen
San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
-
B.
Santa Cruz
Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
-
C.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
D.
Sausalito
Sausalito is a picturesque waterfront city in Northern California known for its hillside homes, art galleries, and views of the San Francisco Bay.
-
E.
Bolinas
Bolinas is a small, unincorporated coastal community in Northern California known for its secluded beaches, artistic residents, and long-standing resistance to tourism and development.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3ffcca648190b73d39b92dafe0fe |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 1, 2026, 7:39 p.m.