Triple
T23137927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Storm |
E577372
|
entity |
| Predicate | basedInCity |
P6317
|
FINISHED |
| Object | Sacramento |
—
|
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: Sacramento | Statement: [California Storm, basedInCity, Sacramento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sacramento Context triple: [California Storm, basedInCity, Sacramento]
-
A.
Sacramento
chosen
Sacramento is the capital city of the U.S. state of California, known for its role as the state’s political center and its historic roots in the Gold Rush era.
-
B.
Fresno
Fresno is a Brazilian rock band known for its emotive lyrics and significant presence in the country’s alternative music scene.
-
C.
Fresno
Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
-
D.
聖フランシスコ
聖フランシスコは、清貧と隣人愛を重んじた生涯で知られ、カトリック教会において最も敬愛される聖人の一人であるアッシジのフランシスコを指す。
-
E.
San Francisco
San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8d6c20819085e8c2f97bc7fd5d |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.