Triple
T14778622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pereiro |
E347329
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object |
Alcoutim
Alcoutim is a small riverside town and municipality in Portugal’s Algarve region, located on the Guadiana River across from Spain.
|
E69625
|
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: Alcoutim | Statement: [Pereiro, hasMunicipalSeat, Alcoutim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcoutim Context triple: [Pereiro, hasMunicipalSeat, Alcoutim]
-
A.
Alcoutim
Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
-
B.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
-
C.
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
D.
Ortigueira
Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
-
E.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
- 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: Alcoutim Triple: [Pereiro, hasMunicipalSeat, Alcoutim]
Generated description
Alcoutim is a small riverside town and municipality in Portugal’s Algarve region, located on the Guadiana River across from Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alcoutim Target entity description: Alcoutim is a small riverside town and municipality in Portugal’s Algarve region, located on the Guadiana River across from Spain.
-
A.
Alcoutim
chosen
Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
-
B.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
-
C.
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
D.
Ortigueira
Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
-
E.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
- F. None of above.
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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe29d6a434819093498b7878f4ca85 |
completed | May 8, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2df546408190b9aa83f5e0bee66d |
completed | May 8, 2026, 6:39 p.m. |
Created at: April 10, 2026, 1:31 a.m.