Triple
T34833365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pátio Cianê Shopping |
E1004126
|
entity |
| Predicate | isMajorCommercialCenterIn |
P79077
|
FINISHED |
| Object | Sorocaba |
—
|
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: Sorocaba | Statement: [Pátio Cianê Shopping, isMajorCommercialCenterIn, Sorocaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorCommercialCenterIn Context triple: [Pátio Cianê Shopping, isMajorCommercialCenterIn, Sorocaba]
-
A.
hasMajorCommercialCentre
chosen
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
B.
isCommercialCapitalOf
Indicates that a location serves as the primary center of commerce, trade, or business activity for another region or entity.
-
C.
isMajorCenterOf
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
-
D.
isMajorCityIn
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
-
E.
capitalOrMajorCenter
Indicates that a location serves as a capital city or a primary major center (political, economic, or cultural hub) for a larger region or entity.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4 p.m.