Triple
T15570333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castanheira de Pera |
E374221
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Castanheira de Pera e Coentral |
E374221
|
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: Castanheira de Pera e Coentral | Statement: [Castanheira de Pera, hasParish, Castanheira de Pera e Coentral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castanheira de Pera e Coentral Context triple: [Castanheira de Pera, hasParish, Castanheira de Pera e Coentral]
-
A.
Castanheira de Pera
chosen
Castanheira de Pera is a small municipality in central Portugal, known for its mountainous landscapes and river beaches.
-
B.
Loureiro
Loureiro is a fragrant white grape variety from northern Portugal, known for producing fresh, aromatic wines with citrus and floral notes, especially in the Vinho Verde region.
-
C.
Painho e Figueiros
Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
-
D.
Alcantarilha e Pêra
Alcantarilha e Pêra is a civil parish in the municipality of Silves, located in Portugal’s Algarve region.
-
E.
Cereja do Fundão
Cereja do Fundão is a renowned Portuguese cherry variety from the Fundão region, celebrated for its sweetness, firmness, and high quality.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.