Triple
T21983690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natal metropolitan region |
E542902
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Várzea
Várzea is a small municipality in the state of Rio Grande do Norte, Brazil, that forms part of the Natal metropolitan region.
|
E1553510
|
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: Várzea | Statement: [Natal metropolitan region, hasMunicipality, Várzea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várzea Context triple: [Natal metropolitan region, hasMunicipality, Várzea]
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Várzea da Igreja
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
-
C.
Sarapiquí River
The Sarapiquí River is a significant waterway in northern Costa Rica known for its rich biodiversity, agricultural importance, and popularity for ecotourism and white-water rafting.
-
D.
Baça River
The Baça River is a small river in central Portugal that flows through the town of Alcobaça before joining the Alcoa River.
-
E.
Canindé River
The Canindé River is a significant watercourse in northeastern Brazil that flows through the state of Piauí, contributing to its regional hydrology and ecosystems.
- 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: Várzea Triple: [Natal metropolitan region, hasMunicipality, Várzea]
Generated description
Várzea is a small municipality in the state of Rio Grande do Norte, Brazil, that forms part of the Natal metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Várzea Target entity description: Várzea is a small municipality in the state of Rio Grande do Norte, Brazil, that forms part of the Natal metropolitan region.
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Várzea da Igreja
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
-
C.
Sarapiquí River
The Sarapiquí River is a significant waterway in northern Costa Rica known for its rich biodiversity, agricultural importance, and popularity for ecotourism and white-water rafting.
-
D.
Baça River
The Baça River is a small river in central Portugal that flows through the town of Alcobaça before joining the Alcoa River.
-
E.
Canindé River
The Canindé River is a significant watercourse in northeastern Brazil that flows through the state of Piauí, contributing to its regional hydrology and ecosystems.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708055c8190b626ce244e368296 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b97fe4ac88190a7e08121bec76678 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b98f528288190b716963b91513895 |
completed | May 18, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b99c5fba88190bfba0633a2e3c03b |
completed | May 18, 2026, 10:59 p.m. |
Created at: April 16, 2026, 8:04 p.m.