Triple
T35668025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Francisco Matarazzo |
E1030626
|
entity |
| Predicate | isPartOfUrbanNetwork |
P124077
|
FINISHED |
| Object | road network 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: road network of São Paulo | Statement: [Avenida Francisco Matarazzo, isPartOfUrbanNetwork, road network of São Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanNetwork Context triple: [Avenida Francisco Matarazzo, isPartOfUrbanNetwork, road network of São Paulo]
-
A.
integratedIntoUrbanNetwork
chosen
Indicates that an entity has been incorporated into and functions as part of a broader urban infrastructure or service network.
-
B.
isPartOfUrbanProject
Indicates that something belongs to, is included within, or constitutes a component of a broader urban development project.
-
C.
partOfUrbanContinuumWith
Indicates that two or more settlements are spatially and functionally connected in such a way that they form a continuous urban area or built-up zone.
-
D.
isUrbanNode
Indicates that a location or entity functions as an urban center or node within a city or metropolitan network.
-
E.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:05 p.m.