Triple
T27661163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZS |
E697125
|
entity |
| Predicate | underlyingCompanyFormerHeadquartersLocation |
P114458
|
FINISHED |
| Object | San Jose, California Bay Area, United States |
—
|
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: San Jose, California Bay Area, United States | Statement: [ZS, underlyingCompanyFormerHeadquartersLocation, San Jose, California Bay Area, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyFormerHeadquartersLocation Context triple: [ZS, underlyingCompanyFormerHeadquartersLocation, San Jose, California Bay Area, United States]
-
A.
majorCompanyFormerlyHeadquartered
chosen
Indicates that a company was previously headquartered in a particular location but is no longer based there.
-
B.
headquartersPreviousLocation
Indicates that an entity’s headquarters used to be located at a specified place before moving to its current location.
-
C.
underlyingCompanyFormerName
Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
-
D.
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.
-
E.
locationOfUnderlyingCompany
Indicates the geographic place where the underlying company is based, registered, or operates.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 2:36 p.m.