Triple
T38310282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of Advanced Micro Devices |
E1033662
|
entity |
| Predicate | employerHeadquartersCity |
P10544
|
FINISHED |
| Object | Santa Clara |
—
|
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: Santa Clara | Statement: [Chief Executive Officer of Advanced Micro Devices, employerHeadquartersCity, Santa Clara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerHeadquartersCity Context triple: [Chief Executive Officer of Advanced Micro Devices, employerHeadquartersCity, Santa Clara]
-
A.
employerHeadquarters
chosen
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
B.
laterCompanyHeadquartersCity
Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
-
C.
sponsorHeadquartersCity
Indicates the city where the sponsoring organization’s main headquarters is located.
-
D.
issuerHeadquartersAddressCity
Indicates the city where the issuer’s headquarters address is located.
-
E.
hasHeadOfficeCity
Indicates that an organization’s main or central administrative office is located in a particular city.
- F. None of above.
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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:30 p.m.