Triple
T5915630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogadouro |
E131572
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Mogadouro |
E131572
|
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: Mogadouro | Statement: [Mogadouro, officialName, Mogadouro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogadouro Context triple: [Mogadouro, officialName, Mogadouro]
-
A.
Mogadouro
chosen
Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
-
B.
Ansião
Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
-
C.
Mouraria
Mouraria is a historic Lisbon neighborhood known for its multicultural character, narrow medieval streets, and deep ties to traditional fado music.
-
D.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
E.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bb538c8190acc514c2d49359f4 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e397f2748190acf2d629ee57a466 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 3:59 p.m.