Triple
T2674014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Bay |
E56414
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Sausalito |
E175472
|
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: Sausalito | Statement: [North Bay, includesCity, Sausalito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sausalito Context triple: [North Bay, includesCity, Sausalito]
-
A.
Sausalito
chosen
Sausalito is a picturesque waterfront city in Northern California known for its hillside homes, art galleries, and views of the San Francisco Bay.
-
B.
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.
-
C.
San Mateo
San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
-
D.
San Rafael
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.
-
E.
San Rafael
San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
- 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_69afce812640819085c46f7452b5913b |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:54 p.m.