Triple
T3809093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maio |
E93085
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Barreiro
Barreiro is a small village located on the Cape Verdean island of Maio.
|
E515866
|
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: Barreiro | Statement: [Maio, hasVillage, Barreiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barreiro Context triple: [Maio, hasVillage, Barreiro]
-
A.
Covilhã
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.
Lourinhã
Lourinhã is a coastal municipality in western Portugal known for its rich dinosaur fossil discoveries and scenic Atlantic beaches.
-
C.
Montemor-o-Novo
Montemor-o-Novo is a historic town and municipality in Portugal’s Alentejo region, known for its medieval castle ruins and rural landscapes.
-
D.
Vila do Bispo
Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
-
E.
São Brás de Alportel
São Brás de Alportel is a small inland municipality in Portugal’s Algarve region, known for its traditional architecture, cork production, and rural landscapes.
- 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: Barreiro Triple: [Maio, hasVillage, Barreiro]
Generated description
Barreiro is a small village located on the Cape Verdean island of Maio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barreiro Target entity description: Barreiro is a small village located on the Cape Verdean island of Maio.
-
A.
Covilhã
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.
Lourinhã
Lourinhã is a coastal municipality in western Portugal known for its rich dinosaur fossil discoveries and scenic Atlantic beaches.
-
C.
Montemor-o-Novo
Montemor-o-Novo is a historic town and municipality in Portugal’s Alentejo region, known for its medieval castle ruins and rural landscapes.
-
D.
Vila do Bispo
Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
-
E.
São Brás de Alportel
São Brás de Alportel is a small inland municipality in Portugal’s Algarve region, known for its traditional architecture, cork production, and rural landscapes.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80c7fc48190b5c2400918bba5c2 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28ea49588190bf1bc4cb3ca4dcee |
completed | March 21, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_69bf2ad1b7e0819096b1ea7fc55401f2 |
completed | March 21, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2b65903c8190a34d77b11dd1fa87 |
completed | March 21, 2026, 11:36 p.m. |
Created at: March 9, 2026, 3:16 p.m.