Triple
T31856943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket |
E813222
|
entity |
| Predicate | photographs |
P12849
|
FINISHED |
| Object | gang violence in Cidade de Deus |
—
|
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: gang violence in Cidade de Deus | Statement: [Rocket, photographs, gang violence in Cidade de Deus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographs Context triple: [Rocket, photographs, gang violence in Cidade de Deus]
-
A.
hasPhotographs
Indicates that one entity possesses, contains, or is associated with one or more photographs of another entity or subject.
-
B.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
C.
hasPhotograph
chosen
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
D.
photographsTakenIn
Indicates that photographs were captured or taken within a specific location or place.
-
E.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
- 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_69f6b06a8fdc819090bbb2d491bb2a35 |
completed | May 3, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:52 p.m.