Triple
T16361127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murça |
E397311
|
entity |
| Predicate | countrySubdivisionName |
P2356
|
FINISHED |
| Object | Vila Real |
E224908
|
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: Vila Real | Statement: [Murça, countrySubdivisionName, Vila Real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vila Real Context triple: [Murça, countrySubdivisionName, Vila Real]
-
A.
Vila Real
chosen
Vila Real is a historic city in northern Portugal known for its scenic Douro Valley surroundings and notable Baroque architecture.
-
B.
Santo Tirso
Santo Tirso is a municipality in northern Portugal known for its textile industry, historic monasteries, and location in the Porto metropolitan area.
-
C.
Sabugal
Sabugal is a historic municipality and town in central Portugal, known for its medieval castle and scenic location near the Spanish border.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Vila Real de Santo António
Vila Real de Santo António is a coastal town and municipality in Portugal’s Algarve region, located at the mouth of the Guadiana River on the border with Spain.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad304448190b3f6f0350a1e151d |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00580fec0c8190b7fb73dbc637fb61 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:08 a.m.