Triple
T5173129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Vicente (Cape Verde) |
E116731
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | São Pedro |
E460736
|
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 Pedro | Statement: [São Vicente (Cape Verde), hasSettlement, São Pedro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Pedro Context triple: [São Vicente (Cape Verde), hasSettlement, São Pedro]
-
A.
São Pedro
São Pedro is a civil parish within the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
B.
São Pedro
São Pedro is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
C.
São Pedro
chosen
São Pedro is a settlement on the Cape Verdean island of São Vicente, known as a small coastal community near the island’s main city, Mindelo.
-
D.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
E.
Santo Antônio
Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd796f7c308190a721e33aabd499ac |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed9471b4881909c8436853818a8a0 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.