Triple
T23355633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Recife |
E593038
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object | Tejipió |
—
|
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: Tejipió | Statement: [West Zone of Recife, containsNeighborhood, Tejipió]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tejipió Context triple: [West Zone of Recife, containsNeighborhood, Tejipió]
-
A.
Tejipió
chosen
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
B.
Tilzapotla
Tilzapotla is a small town located within the municipality of Puente de Ixtla in the Mexican state of Morelos.
-
C.
Tlachichuca
Tlachichuca is a town in the Mexican state of Puebla that serves as a common base for climbers and visitors heading to Pico de Orizaba, the country’s highest peak.
-
D.
Tetela
Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
-
E.
Petatlán
Petatlán is a town and municipality in the Mexican state of Guerrero, known for its agricultural production and proximity to the Pacific coast.
- 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.