Triple
T23046408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco |
E573887
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Yerba Buena |
—
|
NE NERFINISHED |
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, foundedAs, Yerba Buena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerba Buena Context triple: [San Francisco, foundedAs, 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.
Yerba Buena
Yerba Buena is a New York–based Latin fusion band known for blending Afro-Cuban, hip hop, and world music influences.
-
D.
Barra de São Francisco
Barra de São Francisco is a municipality in the northwest of the Brazilian state of Espírito Santo, known for its granite mining and agricultural activities.
-
E.
Peralta
Peralta is a Spanish-origin surname borne by various notable individuals and families across the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185192754819093a87d23371e7bbc |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.