Triple
T14011743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covilhã |
E337094
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Covilhã e Canhoso |
E337094
|
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: Covilhã e Canhoso | Statement: [Covilhã, hasParish, Covilhã e Canhoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Covilhã e Canhoso Context triple: [Covilhã, hasParish, Covilhã e Canhoso]
-
A.
Covilhã
chosen
Covilhã is a city in central Portugal, historically known for its textile industry and as a gateway to the Serra da Estrela mountain range.
-
B.
Pero da Covilhã
Pero da Covilhã was a 15th-century Portuguese explorer and diplomat known for his overland journeys to India and Ethiopia that helped pave the way for the sea route to India.
-
C.
Proença-a-Nova
Proença-a-Nova is a small municipality and town in central Portugal known for its rural landscapes, forested hills, and traditional villages.
-
D.
Matosinhos
Matosinhos is a coastal city in northern Portugal known for its port, beaches, and seafood cuisine, forming part of the Porto metropolitan area.
-
E.
Mosteiros
Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.