Triple
T15283502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Viana |
E365333
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Viana |
E591614
|
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: Viana | Statement: [Prince of Viana, namedAfter, Viana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viana Context triple: [Prince of Viana, namedAfter, Viana]
-
A.
Viana
chosen
Viana is a historic town in northern Spain’s Navarre region, known for its medieval architecture and as the burial place of the Renaissance nobleman and military leader Cesare Borgia.
-
B.
Viana
Viana is a major suburban municipality and industrial hub located on the outskirts of Luanda, Angola’s capital.
-
C.
Viana
Viana is a municipality in the Brazilian state of Espírito Santo, known for its colonial heritage and proximity to the state capital, Vitória.
-
D.
Penacova
Penacova is a picturesque riverside town in central Portugal known for its scenic landscapes, viewpoints, and traditional villages along the Mondego River.
-
E.
Viana do Castelo
Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3cf84c8190a4655803b12c9721 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:15 a.m.