Triple
T15028808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pampilhosa da Serra |
E378286
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Castanheira de Pera |
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 | Statement: [Pampilhosa da Serra, borderedBy, Castanheira de Pera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castanheira de Pera Context triple: [Pampilhosa da Serra, borderedBy, Castanheira de Pera]
-
A.
Castanheira de Pera
chosen
Castanheira de Pera is a small municipality in central Portugal, known for its mountainous landscapes and river beaches.
-
B.
Treiso
Treiso is a small village in Italy’s Piedmont region renowned for its production of high-quality Barbaresco wines from Nebbiolo grapes.
-
C.
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.
-
D.
Figueira Seca
Figueira Seca is a small village located on the island of Maio in Cape Verde.
-
E.
Cerezo
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.