Triple
T5975666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madalena (Recife) |
E132979
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cordeiro (Recife) |
E132985
|
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: Cordeiro (Recife) | Statement: [Madalena (Recife), locatedNear, Cordeiro (Recife)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordeiro (Recife) Context triple: [Madalena (Recife), locatedNear, Cordeiro (Recife)]
-
A.
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.
-
B.
Cordeiro
chosen
Cordeiro is a neighborhood within the city of Recife in northeastern Brazil.
-
C.
Maracanaú
Maracanaú is an industrial and residential city in northeastern Brazil, located in the metropolitan region of Fortaleza in the state of Ceará.
-
D.
Laranjeiras
Laranjeiras is a historic colonial-era city in the Brazilian state of Sergipe, known for its preserved architecture and rich Afro-Brazilian cultural traditions.
-
E.
Portuguesa Santista
Portuguesa Santista is a Brazilian football club based in Santos, São Paulo, known for its youth development and regional tradition.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3b41248190b259409f8ebb9e09 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.