Triple
T16170572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LBT |
E392422
|
entity |
| Predicate | visualIdentityFor |
P63807
|
FINISHED |
| Object | Long Beach Transit services |
—
|
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: Long Beach Transit services | Statement: [LBT, visualIdentityFor, Long Beach Transit services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualIdentityFor Context triple: [LBT, visualIdentityFor, Long Beach Transit services]
-
A.
visualIdentity
chosen
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
B.
visualIdentityDesigner
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
C.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
-
D.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
E.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.