Triple
T31856855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulo Lins |
E813218
|
entity |
| Predicate | formerResidentOf |
P4907
|
FINISHED |
| Object | Cidade de Deus favela |
—
|
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: Cidade de Deus favela | Statement: [Paulo Lins, formerResidentOf, Cidade de Deus favela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerResidentOf Context triple: [Paulo Lins, formerResidentOf, Cidade de Deus favela]
-
A.
formerResidenceOf
chosen
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
B.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain period.
-
C.
hasNearbyFormerResidenceOf
Indicates that one entity is located near a place that used to be the residence of another entity.
-
D.
residencyOf
Indicates that one entity serves as the place where another entity resides or lives.
-
E.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: April 30, 2026, 11:52 p.m.