Triple
T12312916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumaré |
E293525
|
entity |
| Predicate | roadNetworkIntegration |
P3293
|
FINISHED |
| Object | state highways of São Paulo |
—
|
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: state highways of São Paulo | Statement: [Sumaré, roadNetworkIntegration, state highways of São Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNetworkIntegration Context triple: [Sumaré, roadNetworkIntegration, state highways of São Paulo]
-
A.
streetNetwork
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
-
B.
roadSystem
chosen
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
C.
roadNetworkHubOf
Indicates that one location functions as a central node or hub within the road network relative to another location or area.
-
D.
roadNetworkServedBy
Indicates that a particular road network is provided, maintained, or operated by a specified service, organization, or infrastructure system.
-
E.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.