Triple
T17722724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Department |
E442381
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Capiatá
Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
|
E1286736
|
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: Capiatá | Statement: [Central Department, hasCity, Capiatá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capiatá Context triple: [Central Department, hasCity, Capiatá]
-
A.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
B.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
C.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
D.
Naguanagua
Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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: Capiatá Triple: [Central Department, hasCity, Capiatá]
Generated description
Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capiatá Target entity description: Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
-
A.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
B.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
C.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
D.
Naguanagua
Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47487b4988190b14237a4e6376e9a |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efad6c1c8190908d563ded272ae8 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f096fc648190a1ff19f2704a4cef |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1d0a4708190bbf51356da7e965e |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:07 a.m.