Triple
T19172272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maranhão |
E469351
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Caxias
Caxias is a historic municipality in the Brazilian state of Maranhão, known for its colonial heritage and regional cultural significance.
|
E1362560
|
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: Caxias | Statement: [Maranhão, hasCity, Caxias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caxias Context triple: [Maranhão, hasCity, Caxias]
-
A.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
-
B.
Baraguá
Baraguá is a historic locality in eastern Cuba best known as the site of the 1878 Baraguá Protest, a landmark act of resistance during the Ten Years' War for Cuban independence.
-
C.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
D.
Araruama
Araruama is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its large saltwater lagoon and tourism.
-
E.
Potiguara
The Potiguara are an Indigenous people of northeastern Brazil, known for their Tupi-Guarani language, coastal settlements, and enduring cultural traditions despite centuries of colonization.
- 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: Caxias Triple: [Maranhão, hasCity, Caxias]
Generated description
Caxias is a historic municipality in the Brazilian state of Maranhão, known for its colonial heritage and regional cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caxias Target entity description: Caxias is a historic municipality in the Brazilian state of Maranhão, known for its colonial heritage and regional cultural significance.
-
A.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
-
B.
Baraguá
Baraguá is a historic locality in eastern Cuba best known as the site of the 1878 Baraguá Protest, a landmark act of resistance during the Ten Years' War for Cuban independence.
-
C.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
D.
Araruama
Araruama is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its large saltwater lagoon and tourism.
-
E.
Potiguara
The Potiguara are an Indigenous people of northeastern Brazil, known for their Tupi-Guarani language, coastal settlements, and enduring cultural traditions despite centuries of colonization.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16481948190973067eb854da237 |
completed | April 20, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8ac3304819091fa43ec3f7573b6 |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06f9cc015c8190a87518c058e2a233 |
completed | May 15, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa3aa394819096ef4b6f3dddba1a |
completed | May 15, 2026, 10:49 a.m. |
Created at: April 10, 2026, 12:06 p.m.