Triple
T3867063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi’s Stadium |
E91885
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Santa Clara |
E13690
|
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: Santa Clara | Statement: [Levi’s Stadium, city, Santa Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Clara Context triple: [Levi’s Stadium, city, Santa Clara]
-
A.
Santa Clara
Santa Clara is a major city in central Cuba known as the capital of Villa Clara Province and a historic site of key battles in the Cuban Revolution.
-
B.
Santa Clara
chosen
Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
-
C.
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.
-
D.
Santa Clara Valley
Santa Clara Valley is a region in Northern California that encompasses much of Silicon Valley, known for its high-tech industry, suburban communities, and proximity to the San Francisco Bay Area.
-
E.
Santa Clara Canton
Santa Clara Canton is an administrative subdivision in eastern Ecuador known for its location within the Amazonian Pastaza Province and its largely rural, rainforest-covered territory.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3cc1a88190924125a86f72fd5b |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a82c551c8190a97fdc5a96cf131c |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 9, 2026, 3:19 p.m.