Triple
T1210453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergipe |
E25986
|
entity |
| Predicate | hasHistoricCity |
P3786
|
FINISHED |
| Object | São Cristóvão |
E147473
|
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 Cristóvão | Statement: [Sergipe, hasHistoricCity, São Cristóvão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Cristóvão Context triple: [Sergipe, hasHistoricCity, São Cristóvão]
-
A.
São Cristóvão
São Cristóvão was one of the ships in the Portuguese fleet commanded by Bartolomeu Dias during his pioneering voyage around the Cape of Good Hope in the late 15th century.
-
B.
São Cristóvão
chosen
São Cristóvão is one of Brazil’s oldest colonial cities, known for its well-preserved historic center and UNESCO-listed São Francisco Square.
-
C.
Boa Vista
Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
-
D.
Boa Vista
Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
-
E.
São Vicente
São Vicente is a prominent island in Cape Verde known for its cultural hub Mindelo, vibrant music scene, and important Atlantic port.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde4670481908c16a3a8c1a54aad |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f6f3e4819099310a5e21455c21 |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:46 p.m.