Triple
T2073749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SJC |
E44873
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Norman Y. Mineta |
E47859
|
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: Norman Y. Mineta | Statement: [SJC, namedAfter, Norman Y. Mineta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Y. Mineta Context triple: [SJC, namedAfter, Norman Y. Mineta]
-
A.
Norman Mineta
chosen
Norman Mineta was an American politician who served as U.S. Secretary of Transportation and longtime congressman, noted for his leadership on transportation policy and civil rights.
-
B.
John K. Minasian
John K. Minasian was an American structural engineer best known for helping design Seattle’s iconic Space Needle.
-
C.
John A. Volpe
John A. Volpe was an American politician who served as Governor of Massachusetts and later as U.S. Secretary of Transportation and Ambassador to Italy.
-
D.
Ronald G. Brown
Ronald G. Brown is an author known for writing the work titled "Honey."
-
E.
John E. Zuccotti
John E. Zuccotti was an American real estate executive and public official in New York City, notably serving as deputy mayor and a prominent figure in urban development.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba101c008190840763d2f28fa8d7 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2730d2548190b51dc61520981ca0 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.