Triple
T3133921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Valley |
E65481
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sunnyvale |
E29259
|
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: Sunnyvale | Statement: [Santa Clara Valley, contains, Sunnyvale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnyvale Context triple: [Santa Clara Valley, contains, Sunnyvale]
-
A.
Sunnyvale
chosen
Sunnyvale is a major Silicon Valley city in Northern California known for its high-tech industry presence and suburban residential communities.
-
B.
Sunnyvale
Sunnyvale is a suburban town in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Dallas, Texas.
-
C.
San Bruno
San Bruno is a small city in San Mateo County, California, located just south of San Francisco and known for its proximity to San Francisco International Airport and the YouTube headquarters.
-
D.
Milpitas
Milpitas is a city in Santa Clara County, California, located at the southern end of the San Francisco Bay and known as part of Silicon Valley’s high-tech corridor.
-
E.
San Mateo
San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada56104ec8190a14591ed73f3fe83 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f77397f48190aeeef1b389e7f2df |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 8, 2026, 3:05 p.m.