Triple
T22431371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Potiguar |
E554506
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Itajá
Itajá is a municipality in the state of Rio Grande do Norte in Brazil, located in the Central Potiguar mesoregion.
|
E1537305
|
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: Itajá | Statement: [Central Potiguar, containsMunicipality, Itajá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itajá Context triple: [Central Potiguar, containsMunicipality, Itajá]
-
A.
Jataí
Jataí is a municipality in the southwestern part of the Brazilian state of Goiás, known for its strong agricultural economy and grain production.
-
B.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
C.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
D.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
E.
Itapeva
Itapeva is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
- 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: Itajá Triple: [Central Potiguar, containsMunicipality, Itajá]
Generated description
Itajá is a municipality in the state of Rio Grande do Norte in Brazil, located in the Central Potiguar mesoregion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itajá Target entity description: Itajá is a municipality in the state of Rio Grande do Norte in Brazil, located in the Central Potiguar mesoregion.
-
A.
Jataí
Jataí is a municipality in the southwestern part of the Brazilian state of Goiás, known for its strong agricultural economy and grain production.
-
B.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
C.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
D.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
E.
Itapeva
Itapeva is a municipality in the state of São Paulo, Brazil, known for its regional agricultural economy and educational institutions.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a32139481909baaf9275f5e0257 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c691e9881908734ed4f36baabba |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d10a50881909fb586a3c529623d |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0daf9bac819086166985458f6742 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:47 p.m.