Triple
T15015188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 950 |
E377939
|
entity |
| Predicate | operatedInRegion |
P6665
|
FINISHED |
| Object | South Bay area |
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 area | Statement: [Line 950, operatedInRegion, South Bay area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Bay area Context triple: [Line 950, operatedInRegion, South Bay area]
-
A.
South Bay
South Bay is the southern portion of Biscayne Bay, a coastal lagoon area in southeastern Florida known for its marine habitats and proximity to the Florida Keys and Miami.
-
B.
South Bay
South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
-
C.
South Bay
South Bay is a coastal inlet on Livingston Island in the South Shetland Islands of Antarctica, known for its icy waters and surrounding glaciated terrain.
-
D.
South Bay
South Bay is a coastal settlement in New Zealand’s Kaikōura District, known for its marine wildlife, fishing, and scenic seaside environment.
-
E.
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.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd078e481908ec78db57541fc4c |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:55 a.m.