Triple
T3889893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Bay Area campus |
E88033
|
entity |
| Predicate | locatedInHubOf |
P51677
|
FINISHED |
| Object | technology industry |
—
|
LITERAL 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: technology industry | Statement: [San Francisco Bay Area campus, locatedInHubOf, technology industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInHubOf Context triple: [San Francisco Bay Area campus, locatedInHubOf, technology industry]
-
A.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
B.
housedInCity
Indicates that one entity (such as a building, organization, or facility) is located within and contained by a particular city.
-
C.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
D.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
E.
usedInCapitalCityOf
Indicates that something is utilized or applied within the capital city of a specified region or country.
- F. None of above. chosen
Provenance (4 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:21 p.m.