Triple
T8301016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco |
E194348
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Yerba Buena |
E248489
|
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: Yerba Buena | Statement: [San Francisco, originalName, Yerba Buena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerba Buena Context triple: [San Francisco, originalName, Yerba Buena]
-
A.
Yerba Buena
chosen
Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
-
B.
Yerba Buena
Yerba Buena is a city in northwestern Argentina known as a suburban and residential area adjacent to the provincial capital of San Miguel de Tucumán.
-
C.
Sutro
Sutro is a small unincorporated community in Storey County, Nevada, historically associated with the nearby Comstock Lode mining operations.
-
D.
Madrona
Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
-
E.
San Francisco Cora
San Francisco Cora is a regional variety of the Cora language traditionally spoken by Cora communities in and around the San Francisco region of Nayarit, Mexico.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e879c588190a6f95cf7795541ad |
completed | March 31, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68bcb43081909e3a8a00947d03f2 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.