Triple
T23355636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Recife |
E593038
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object | Totó |
—
|
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: Totó | Statement: [West Zone of Recife, containsNeighborhood, Totó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Totó Context triple: [West Zone of Recife, containsNeighborhood, Totó]
-
A.
Totó
chosen
Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Totó
Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
-
C.
Totó la Momposina
Totó la Momposina is a renowned Colombian singer and folklorist celebrated for preserving and popularizing traditional Afro-Indigenous and Caribbean coastal music.
-
D.
Lucho Gatica
Lucho Gatica was a renowned Chilean bolero singer and actor whose romantic style made him one of Latin America's most influential vocalists of the 20th century.
-
E.
Panchito
Panchito is a lively Mexican rooster character from Disney’s "The Three Caballeros," known for his exuberant personality and sombrero-wearing, gun-slinging antics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a176b548190bf5a08bb2585344d |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:26 p.m.