Triple
T18736824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosteiros |
E458182
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | São Filipe |
—
|
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 Filipe | Statement: [Mosteiros, borderedBy, São Filipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Filipe Context triple: [Mosteiros, borderedBy, São Filipe]
-
A.
São Filipe
chosen
São Filipe is the main town and administrative center of Fogo Island in Cape Verde, known for its colonial architecture and coastal setting.
-
B.
São Fidélis
São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
-
C.
Santo Antão
Santo Antão is the westernmost and one of the largest islands of Cape Verde, renowned for its dramatic volcanic mountains, deep valleys, and lush hiking landscapes.
-
D.
Fajã de São João
Fajã de São João is a small coastal settlement and lava-delta plain on the south coast of São Jorge Island in the Azores, known for its traditional houses, terraced agriculture, and scenic ocean views.
-
E.
Bonfim
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.