Triple
T22456704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Mogadouro |
E555133
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bemposta
Bemposta is a small village in northeastern Portugal that forms part of the rural municipality of Mogadouro in the Bragança district.
|
E1540570
|
NE FINISHED |
How this triple was built (4 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: Bemposta | Statement: [municipality of Mogadouro, hasSettlement, Bemposta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bemposta Context triple: [municipality of Mogadouro, hasSettlement, Bemposta]
-
A.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Bonfim
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
-
C.
Pampilhosa da Serra
Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
-
D.
Pau dos Ferros
Pau dos Ferros is a municipality in the interior of Brazil’s Rio Grande do Norte state, known as a regional commercial and educational hub in the Alto Oeste Potiguar region.
-
E.
Neiva
Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bemposta Triple: [municipality of Mogadouro, hasSettlement, Bemposta]
Generated description
Bemposta is a small village in northeastern Portugal that forms part of the rural municipality of Mogadouro in the Bragança district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bemposta Target entity description: Bemposta is a small village in northeastern Portugal that forms part of the rural municipality of Mogadouro in the Bragança district.
-
A.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Bonfim
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
-
C.
Pampilhosa da Serra
Pampilhosa da Serra is a small municipality in central Portugal known for its mountainous landscapes, schist villages, and forested river valleys.
-
D.
Pau dos Ferros
Pau dos Ferros is a municipality in the interior of Brazil’s Rio Grande do Norte state, known as a regional commercial and educational hub in the Alto Oeste Potiguar region.
-
E.
Neiva
Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
- F. None of above. chosen
Provenance (5 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7c428c8190847a259eef969525 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17d5020c8190aa42acce098d6e51 |
completed | May 18, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_6a0b18e8eb208190a600d39f0a9863a0 |
completed | May 18, 2026, 1:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1953cfc48190917af042f0cc0ab8 |
completed | May 18, 2026, 1:51 p.m. |
Created at: April 16, 2026, 8:48 p.m.