Triple
T2941154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobus (Miami-Dade County) |
E79387
|
entity |
| Predicate | publiclyOwned |
P44092
|
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: [Metrobus (Miami-Dade County), publiclyOwned, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publiclyOwned Context triple: [Metrobus (Miami-Dade County), publiclyOwned, true]
-
A.
publicOrPrivate
Indicates whether something is designated as publicly accessible or restricted to private use or access.
-
B.
isPrivateOrPublic
Indicates whether something is designated as private or public in terms of its accessibility or visibility.
-
C.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
D.
openedForPublic
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
E.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986f38948190a636a826693a9d4f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.