Triple
T16194668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BART Silicon Valley extension |
E393030
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | South Bay |
E20431
|
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: South Bay | Statement: [BART Silicon Valley extension, regionServed, South Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Bay Context triple: [BART Silicon Valley extension, regionServed, South Bay]
-
A.
South Bay
South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
-
B.
South Bay
chosen
South Bay is the southern region of the San Francisco Bay Area, known for encompassing much of Silicon Valley and several major tech-centric cities.
-
C.
South Bay
South Bay is a popular sandy beach and sheltered bay on the North Sea coast at Scarborough, North Yorkshire, known for its traditional seaside attractions and promenade.
-
D.
South Bay
South Bay was the historical name of the small town now known as Bucoda in Washington State.
-
E.
South Bay
South Bay is a coastal settlement in New Zealand’s Kaikōura District, known for its marine wildlife, fishing, and scenic seaside environment.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d851188190b2452d165e4fc4bd |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0bfd08819083afc4bea1b99aad |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.