Triple
T18306581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourinhã |
E438500
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lourinhã (town) |
—
|
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: Lourinhã (town) | Statement: [Lourinhã, hasPart, Lourinhã (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lourinhã (town) Context triple: [Lourinhã, hasPart, Lourinhã (town)]
-
A.
Lourinhã
chosen
Lourinhã is a coastal municipality in western Portugal known for its rich dinosaur fossil discoveries and scenic Atlantic beaches.
-
B.
Póvoa de Lanhoso
Póvoa de Lanhoso is a municipality in northern Portugal known for its historic castle, traditional granite architecture, and scenic setting within the Minho region.
-
C.
Sever do Vouga (town)
Sever do Vouga (town) is a small urban center in Portugal’s Aveiro District, known for serving as the administrative and commercial hub of the surrounding Sever do Vouga municipality.
-
D.
Ferreira-a-Nova
Ferreira-a-Nova is a civil parish in the municipality of Figueira da Foz, located in the Coimbra District of central Portugal.
-
E.
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.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021519a481908a9b6561946f1c65 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.