Triple
T15028995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castelo Branco District |
E378290
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Belmonte |
E374153
|
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: Belmonte | Statement: [Castelo Branco District, hasTown, Belmonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmonte Context triple: [Castelo Branco District, hasTown, Belmonte]
-
A.
Belmonte
chosen
Belmonte is a historic town in Portugal known for its medieval castle and strong Jewish heritage, located in the country's Centro Region.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
-
D.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
-
E.
Balcarce
Balcarce is a city in Buenos Aires Province, Argentina, known for its agricultural economy, motorsport heritage, and as the birthplace of racing legend Juan Manuel Fangio.
- 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_69fea5b4d58481908afbc89263e07b50 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:58 a.m.