Triple
T31956033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Paraíba |
E815906
|
entity |
| Predicate | hasUrbanAxis |
P1495
|
FINISHED |
| Object | São Paulo–Rio de Janeiro axis |
E1973420
|
NE 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: São Paulo–Rio de Janeiro axis | Statement: [Vale do Paraíba, hasUrbanAxis, São Paulo–Rio de Janeiro axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanAxis Context triple: [Vale do Paraíba, hasUrbanAxis, São Paulo–Rio de Janeiro axis]
-
A.
isUrbanAxis
Indicates that something functions as a primary structural or organizational line within an urban area, such as a main street, corridor, or development spine that shapes the city’s form or activity.
-
B.
isUrbanAxisNear
Indicates that one urban axis (such as a main street or corridor) is located in close spatial proximity to another reference feature or axis within an urban area.
-
C.
hasUrbanSectionsIn
Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
-
D.
hasUrbanFabric
Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
-
E.
hasUrbanFeature
chosen
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
- F. None of above.
Provenance (4 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2af554c8190b94b35448dc2b8fd |
completed | May 3, 2026, 2:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a4ff3cc8190b085ba11c656c7cf |
completed | June 14, 2026, 11:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:08 a.m.