Triple
T3809031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Nicolau |
E93084
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Ribeira Brava |
E390396
|
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: Ribeira Brava | Statement: [São Nicolau, largestSettlement, Ribeira Brava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribeira Brava Context triple: [São Nicolau, largestSettlement, Ribeira Brava]
-
A.
Ribeira Brava
chosen
Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
-
B.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
-
C.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
D.
Beiras
Beiras is a traditional region in central Portugal known for its diverse landscapes, historic cities, and cultural heritage.
-
E.
Miranda do Douro
Miranda do Douro is a municipality in northeastern Portugal known for its distinct cultural identity, including the official regional use of the Mirandese language.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80c7fc48190b5c2400918bba5c2 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f3590c8190b18e2e9dfd84cbcd |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:16 p.m.