Triple
T3809094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maio |
E93085
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Pilão Cão
Pilão Cão is a small rural village located on the island of Maio in Cape Verde.
|
E390406
|
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: Pilão Cão | Statement: [Maio, hasVillage, Pilão Cão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilão Cão Context triple: [Maio, hasVillage, Pilão Cão]
-
A.
Cabeço Gordo
Cabeço Gordo is a volcanic peak in the Azores that forms the central caldera and highest elevation of Faial Island, offering panoramic views of the surrounding archipelago.
-
B.
Bico do Papagaio
Bico do Papagaio is a prominent rocky peak and popular hiking destination within Rio de Janeiro’s Tijuca Forest, known for its parrot-beak-shaped summit and panoramic city views.
-
C.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
D.
Pedra Bonita
Pedra Bonita is a popular granite peak in Rio de Janeiro, Brazil, known for its scenic hiking trails and hang-gliding launch site overlooking the city and coastline.
-
E.
Poço da Panela
Poço da Panela is a historic and traditionally residential neighborhood located along the Capibaribe River in the city of Recife, Brazil.
- 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: Pilão Cão Triple: [Maio, hasVillage, Pilão Cão]
Generated description
Pilão Cão is a small rural village located on the island of Maio in Cape Verde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilão Cão Target entity description: Pilão Cão is a small rural village located on the island of Maio in Cape Verde.
-
A.
Cabeço Gordo
Cabeço Gordo is a volcanic peak in the Azores that forms the central caldera and highest elevation of Faial Island, offering panoramic views of the surrounding archipelago.
-
B.
Bico do Papagaio
Bico do Papagaio is a prominent rocky peak and popular hiking destination within Rio de Janeiro’s Tijuca Forest, known for its parrot-beak-shaped summit and panoramic city views.
-
C.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
D.
Pedra Bonita
Pedra Bonita is a popular granite peak in Rio de Janeiro, Brazil, known for its scenic hiking trails and hang-gliding launch site overlooking the city and coastline.
-
E.
Poço da Panela
Poço da Panela is a historic and traditionally residential neighborhood located along the Capibaribe River in the city of Recife, Brazil.
- 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_69b4fb33db9c81908b462ee80aaaad34 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fc08d65081908953482b10fa5611 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc7d8cf081909c4447818b5363c5 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:16 p.m.