Triple
T35658146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance Transit |
E1030352
|
entity |
| Predicate | alsoServesState |
P71989
|
FINISHED |
| Object | Vermont |
—
|
NE NERFINISHED |
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: Vermont | Statement: [Advance Transit, alsoServesState, Vermont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoServesState Context triple: [Advance Transit, alsoServesState, Vermont]
-
A.
servesPartOfState
Indicates that an entity serves as an official or functional part of a larger state-level governmental or administrative structure.
-
B.
primaryStatesServed
chosen
Indicates the main geographic states that are principally served or covered by the subject.
-
C.
participatingState
Indicates that a state is taking part in, or is formally involved as a participant in, a specified event, process, or arrangement.
-
D.
housedInState
Indicates that an entity is located or situated within the boundaries of a particular state.
-
E.
respondentState
Indicates the state or jurisdiction in which the respondent is located, resides, or is legally associated.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f78d2608190964d678ef76b9c47 |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.