Triple
T21664515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A24 motorway (Portugal) |
E534675
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Viseu |
—
|
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: Viseu | Statement: [A24 motorway (Portugal), connectsTo, Viseu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viseu Context triple: [A24 motorway (Portugal), connectsTo, Viseu]
-
A.
Viseu
chosen
Viseu is a historic inland city in central Portugal known for its well-preserved medieval center, wine production, and cultural heritage.
-
B.
Sever do Vouga
Sever do Vouga is a municipality in central Portugal known for its natural landscapes, waterfalls, and rural tourism within the Aveiro District.
-
C.
Ribeira de Odivelas
Ribeira de Odivelas is a small river in the municipality of Odivelas, Portugal, contributing to the local landscape and drainage system of the region.
-
D.
Rio Maior
Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
-
E.
Golegã
Golegã is a Portuguese town famed for its equestrian traditions and annual horse fair, located in the Centro Region of Portugal.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0a2a58819086db5b5c1c0f3371 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.