Triple
T1995301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangar One |
E43344
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Silicon Valley |
E441
|
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: Silicon Valley | Statement: [Hangar One, locatedIn, Silicon Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silicon Valley Context triple: [Hangar One, locatedIn, Silicon Valley]
-
A.
Silicon Valley
chosen
Silicon Valley is a globally renowned technology and innovation hub in Northern California, home to many of the world’s leading tech companies and startups.
-
B.
Silicon Forest
Silicon Forest is a high-tech industry region in and around Portland, Oregon, known for its concentration of electronics, semiconductor, and technology companies.
-
C.
Silicon Valley of the North
"Silicon Valley of the North" is a nickname for Waterloo, Ontario, highlighting its status as a major Canadian hub for technology companies, startups, and innovation.
-
D.
Menlo Park, California
Menlo Park, California is a city in Silicon Valley known as a hub for technology and venture capital, home to major research institutions and tech companies.
-
E.
Cupertino
Cupertino is a city in California best known as the longtime headquarters of Apple Inc. and a key hub of the global technology industry.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86537748190a2b5e3fd44ac6430 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.