Triple
T30528545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penha neighborhood |
E776925
|
entity |
| Predicate | locatedInRegionOfCity |
P40
|
FINISHED |
| Object | Zona Norte (North Zone) |
—
|
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: Zona Norte (North Zone) | Statement: [Penha neighborhood, locatedInRegionOfCity, Zona Norte (North Zone)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInRegionOfCity Context triple: [Penha neighborhood, locatedInRegionOfCity, Zona Norte (North Zone)]
-
A.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
locatedInCityWithSignificance
Indicates that an entity is located in a city that holds particular importance or notable significance (e.g., historical, cultural, political, or economic).
-
C.
locatedInStateOrRegion
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
D.
locatedInPlannedCity
Indicates that something is situated within the boundaries of a city that was deliberately designed and planned rather than having developed organically.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00c07b302081908bf9755f8fdbc36e |
completed | May 10, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_6a00bfffb168819084b65804d601896d |
completed | May 10, 2026, 5:27 p.m. |
Created at: April 29, 2026, 8:18 p.m.