Triple
T28745197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangu Atlético Clube |
E731350
|
entity |
| Predicate | hasNeighbourhoodOrigin |
P42605
|
FINISHED |
| Object | industrial district of Bangu |
—
|
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: industrial district of Bangu | Statement: [Bangu Atlético Clube, hasNeighbourhoodOrigin, industrial district of Bangu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbourhoodOrigin Context triple: [Bangu Atlético Clube, hasNeighbourhoodOrigin, industrial district of Bangu]
-
A.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
B.
originatedInNeighborhood
chosen
Indicates that an entity began, was founded, or first came into existence within a specific neighborhood.
-
C.
hasNeighborhoodBase
Indicates that one topological space has a specified collection of neighborhoods at each point that forms a neighborhood base for its topology.
-
D.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
E.
hasNeighbourhoodCount
Indicates the number of neighbourhoods associated with a given 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:04 a.m.