Triple
T14199875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mafra, Santa Catarina, Brazil |
E351934
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object |
Lapa
Lapa is a municipality in the state of Paraná, Brazil, known for its historical architecture and role in the Federalist Revolution.
|
E1085658
|
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: Lapa | Statement: [Mafra, Santa Catarina, Brazil, hasBorder, Lapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapa Context triple: [Mafra, Santa Catarina, Brazil, hasBorder, Lapa]
-
A.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
B.
Lapa Piagenti
Lapa Piagenti was the mother of the 14th-century Italian mystic and saint Catherine of Siena.
-
C.
Lapaha
Lapaha is a historic village in Tonga that served as the former capital and royal seat on the island of Tongatapu.
-
D.
Lajamanu
Lajamanu is a remote Aboriginal community in Australia’s Northern Territory, known as a major settlement of the Warlpiri people and for its strong preservation of Warlpiri language and culture.
-
E.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
- 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: Lapa Triple: [Mafra, Santa Catarina, Brazil, hasBorder, Lapa]
Generated description
Lapa is a municipality in the state of Paraná, Brazil, known for its historical architecture and role in the Federalist Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lapa Target entity description: Lapa is a municipality in the state of Paraná, Brazil, known for its historical architecture and role in the Federalist Revolution.
-
A.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
B.
Lapa Piagenti
Lapa Piagenti was the mother of the 14th-century Italian mystic and saint Catherine of Siena.
-
C.
Lapaha
Lapaha is a historic village in Tonga that served as the former capital and royal seat on the island of Tongatapu.
-
D.
Lajamanu
Lajamanu is a remote Aboriginal community in Australia’s Northern Territory, known as a major settlement of the Warlpiri people and for its strong preservation of Warlpiri language and culture.
-
E.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194f13688190af7ef5ceb92a73ff |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1b198c6c81909b71a51a39711754 |
completed | May 7, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1bb585448190bc3393304980b808 |
completed | May 7, 2026, 11:09 p.m. |
Created at: April 10, 2026, 1:04 a.m.