Triple
T29952256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Paraíba e Litoral Norte |
E760799
|
entity |
| Predicate | highestUrbanCenterByPopulation |
P11146
|
FINISHED |
| Object | São José dos Campos |
—
|
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: São José dos Campos | Statement: [Vale do Paraíba e Litoral Norte, highestUrbanCenterByPopulation, São José dos Campos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestUrbanCenterByPopulation Context triple: [Vale do Paraíba e Litoral Norte, highestUrbanCenterByPopulation, São José dos Campos]
-
A.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
B.
largestByPopulationIn
Indicates that an entity is the one with the greatest population among all entities within a specified area or group.
-
C.
largestUrbanConcentrationIn
chosen
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
D.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
E.
hasOneOfLargestPopulationsOf
Indicates that the subject possesses or contains among the highest numbers of members or individuals of the specified type compared to others in a given context.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 6:26 p.m.