Triple
T19403436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Domingos |
E485386
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | São Domingos (Santiago) |
—
|
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: São Domingos (Santiago) | Statement: [São Domingos, alternativeName, São Domingos (Santiago)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Domingos (Santiago) Context triple: [São Domingos, alternativeName, São Domingos (Santiago)]
-
A.
São Domingos
chosen
São Domingos is a municipality on the island of Santiago in Cape Verde, known for its rural landscapes and traditional Cape Verdean culture.
-
B.
São Domingos
São Domingos is a civil parish within the municipality of Santiago do Cacém in Portugal, known for its rural character and traditional Alentejo landscape.
-
C.
São Domingos de Ana Loura
São Domingos de Ana Loura is a small civil parish in the municipality of Estremoz, in Portugal’s Alentejo region.
-
D.
Vale de Santiago
Vale de Santiago is a civil parish in the municipality of Odemira, located in the Alentejo region of southern Portugal.
-
E.
São Domingos de Rana
São Domingos de Rana is a civil parish in the municipality of Cascais, within the Lisbon metropolitan area of Portugal.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257937d081909dbc5804d2505938 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.