Triple
T6147019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercado de São José |
E137102
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | São José (Recife) |
E137102
|
NE 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: São José (Recife) | Statement: [Mercado de São José, locatedIn, São José (Recife)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São José (Recife) Context triple: [Mercado de São José, locatedIn, São José (Recife)]
-
A.
São José do Ribamar
São José do Ribamar is a neighborhood of Recife, Brazil, known as part of the city’s urban coastal area in the state of Pernambuco.
-
B.
Torre (Recife)
Torre is a neighborhood in the city of Recife, Brazil, known for its residential character and proximity to central urban areas.
-
C.
Vitória de Santo Antão
Vitória de Santo Antão is a municipality in northeastern Brazil known for its sugarcane-based economy, cachaça production, and colonial-era heritage.
-
D.
São José
chosen
São José is a historic central neighborhood of Recife, Brazil, known for its traditional markets, colonial-era architecture, and vibrant commercial activity.
-
E.
São José
São José is a civil parish within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.