Triple
T32644926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles |
E834572
|
entity |
| Predicate | isEntertainmentIndustryHub |
P21046
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Los Angeles, isEntertainmentIndustryHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEntertainmentIndustryHub Context triple: [Los Angeles, isEntertainmentIndustryHub, true]
-
A.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
B.
hasRelativeInEntertainmentIndustry
Indicates that one entity has a family member who works in the entertainment industry.
-
C.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
-
D.
isEntertainmentDistrict
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
-
E.
hasFilmIndustryCenter
chosen
Indicates that a location serves as a primary hub or central base for activities related to the film industry.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.