Triple
T6778697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Public Transit |
E155622
|
entity |
| Predicate | emissionPolicy |
P17326
|
FINISHED |
| Object | supports reduced single-occupancy vehicle use |
—
|
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: supports reduced single-occupancy vehicle use | Statement: [Rochester Public Transit, emissionPolicy, supports reduced single-occupancy vehicle use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionPolicy Context triple: [Rochester Public Transit, emissionPolicy, supports reduced single-occupancy vehicle use]
-
A.
emissionType
Indicates the specific category or kind of emission associated with an entity or activity.
-
B.
eraPolicy
Indicates that a specific policy was in effect during a particular historical or temporal era.
-
C.
emissionsControl
chosen
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
D.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
E.
emitted
Indicates that one entity has released, discharged, or sent out another entity, such as energy, particles, signals, or substances, into its surroundings.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2689d408190bc2c1ce4ae9c1b13 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.