Triple
T1196766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceará |
E25684
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Horizonte
Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
|
E141208
|
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: Horizonte | Statement: [Ceará, hasCity, Horizonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horizonte Context triple: [Ceará, hasCity, Horizonte]
-
A.
Terra da Garoa
Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
-
B.
Tianguá
Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
-
C.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
D.
Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
-
E.
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
- 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: Horizonte Triple: [Ceará, hasCity, Horizonte]
Generated description
Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horizonte Target entity description: Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
-
A.
Terra da Garoa
Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
-
B.
Tianguá
Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
-
C.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
D.
Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
-
E.
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a08e1a881908b3f3a41cc1fb010 |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8a8a9b208190aed3bcc4697415d1 |
completed | March 7, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8b17ae048190b32e89d2f2a60ba3 |
completed | March 7, 2026, 8:31 p.m. |
Created at: March 1, 2026, 7:46 p.m.