Triple
T15028837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedrógão Grande |
E378287
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Beira Litoral |
E76438
|
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: Beira Litoral | Statement: [Pedrógão Grande, partOf, Beira Litoral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beira Litoral Context triple: [Pedrógão Grande, partOf, Beira Litoral]
-
A.
Beira Litoral
chosen
Beira Litoral was a former central coastal province of Portugal that included the city of Coimbra and stretched between the Atlantic Ocean and the interior regions.
-
B.
Baixada Santista
Baixada Santista is a coastal metropolitan region in the state of São Paulo, Brazil, known for its port city of Santos, beaches, and significant economic and touristic activity.
-
C.
Litoral Sul
Litoral Sul is the southern coastal region of the Brazilian state of Espírito Santo, known for its beaches, tourism, and seaside communities.
-
D.
Litoral Central
Litoral Central is a coastal region of central Chile known for its beaches, seaside towns, and tourism-oriented communities such as Puchuncaví.
-
E.
Beira Alta
Beira Alta is a historical province in north-central Portugal known for its mountainous landscapes, fortified towns, and wine-producing regions.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.