Triple
T28828056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijayawada Dasara celebrations |
E727965
|
entity |
| Predicate | trafficManagementBy |
P18246
|
FINISHED |
| Object | Vijayawada City Police |
—
|
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: Vijayawada City Police | Statement: [Vijayawada Dasara celebrations, trafficManagementBy, Vijayawada City Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trafficManagementBy Context triple: [Vijayawada Dasara celebrations, trafficManagementBy, Vijayawada City Police]
-
A.
trafficManagementStrategy
Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
-
B.
trafficManagementGoal
Indicates a goal or objective related to managing, regulating, or optimizing traffic flow and conditions.
-
C.
hasTrafficManagement
chosen
Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
-
D.
routesTrafficThrough
Indicates that network traffic originating from one entity is directed to pass through another entity as an intermediate path or conduit.
-
E.
traffics
Indicates engaging in the buying, selling, or illicit trading of someone or something, typically as part of an ongoing commercial or criminal operation.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:36 a.m.