Triple
T28873220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulton County Transit |
E732189
|
entity |
| Predicate | governmentEntityType |
P32279
|
FINISHED |
| Object | county transit agency |
—
|
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: county transit agency | Statement: [Fulton County Transit, governmentEntityType, county transit agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentEntityType Context triple: [Fulton County Transit, governmentEntityType, county transit agency]
-
A.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
B.
governmentCategory
Indicates the type or classification of a government associated with an entity.
-
C.
governmentBodyOf
Indicates that one entity is the official governing body or authority responsible for administering, managing, or overseeing the other entity.
-
D.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
E.
governmentalUnitType
chosen
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 28, 2026, 7:34 a.m.