Triple
T22229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Valley |
E441
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Palo Alto |
E22022
|
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: Palo Alto | Statement: [Silicon Valley, contains, Palo Alto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palo Alto Context triple: [Silicon Valley, contains, Palo Alto]
-
A.
Palo Alto, California
chosen
Palo Alto, California is a major Silicon Valley city known for its role as a global technology and innovation hub and as the home of Stanford University.
-
B.
San Jose
San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
-
C.
Sunnyvale
Sunnyvale is a major Silicon Valley city in Northern California known for its high-tech industry presence and suburban residential communities.
-
D.
Mountain View
Mountain View is a Silicon Valley city in Northern California best known as a major technology hub and the home of companies like Google.
-
E.
Santa Clara
Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2466ab310819091842a0ea9fd25de |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36729974c819091d999022059c4a7 |
completed | Feb. 28, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 1:34 a.m.