Triple
T32715451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCR Ponte |
E836509
|
entity |
| Predicate | operatedTrafficManagement |
P188451
|
FINISHED |
| Object | Rio–Niterói Bridge |
—
|
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: Rio–Niterói Bridge | Statement: [CCR Ponte, operatedTrafficManagement, Rio–Niterói Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTrafficManagement Context triple: [CCR Ponte, operatedTrafficManagement, Rio–Niterói Bridge]
-
A.
managesTrafficFor
chosen
Indicates that one entity is responsible for directing, controlling, or regulating the flow of traffic for another entity or area.
-
B.
hasTrafficManagement
Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
-
C.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
-
D.
trafficManagementStrategy
Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
-
E.
managesWaterwayTraffic
Indicates that an entity is responsible for directing, regulating, or overseeing the movement of vessels and other traffic along a waterway.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
Created at: May 1, 2026, 1:11 a.m.