Triple
T23050560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Wozniak |
E573998
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | De Anza College |
—
|
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: De Anza College | Statement: [Steve Wozniak, educatedAt, De Anza College]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Anza College Context triple: [Steve Wozniak, educatedAt, De Anza College]
-
A.
De Anza College
chosen
De Anza College is a community college in Cupertino, California, known for its strong academic programs and proximity to Silicon Valley.
-
B.
Cuyamaca College
Cuyamaca College is a public community college in El Cajon, California, offering two-year degree, transfer, and career education programs.
-
C.
Santa Ana College
Santa Ana College is a public community college in Santa Ana, California, known for offering a wide range of academic and vocational programs.
-
D.
Palomar College
Palomar College is a public community college serving North San Diego County with a wide range of academic, vocational, and transfer programs.
-
E.
Mt. San Antonio College
Mt. San Antonio College is a large public community college in Walnut, California, known for its comprehensive academic and vocational programs.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.