Triple
T22779957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona da Mata Paraibana |
E563807
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Itabaiana
Itabaiana is a municipality in the Brazilian state of Paraíba, known for its regional commerce and cultural traditions in the Northeast region of the country.
|
E1554976
|
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: Itabaiana | Statement: [Zona da Mata Paraibana, contains, Itabaiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itabaiana Context triple: [Zona da Mata Paraibana, contains, Itabaiana]
-
A.
Itabaiana
Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
-
B.
Tucurú
Tucurú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its rural setting and agricultural activities.
-
C.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
D.
Ananindeua
Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
-
E.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
- 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: Itabaiana Triple: [Zona da Mata Paraibana, contains, Itabaiana]
Generated description
Itabaiana is a municipality in the Brazilian state of Paraíba, known for its regional commerce and cultural traditions in the Northeast region of the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itabaiana Target entity description: Itabaiana is a municipality in the Brazilian state of Paraíba, known for its regional commerce and cultural traditions in the Northeast region of the country.
-
A.
Itabaiana
Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
-
B.
Tucurú
Tucurú is a municipality and town located in the Alta Verapaz Department of central Guatemala, known for its rural setting and agricultural activities.
-
C.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
D.
Ananindeua
Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
-
E.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e8c5aac8190b3c9d22676205c8e |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f73032481908f0df881801de5b2 |
completed | May 18, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba068def08190b22058cf5bd76b4f |
completed | May 18, 2026, 11:27 p.m. |
Created at: April 17, 2026, 3:28 p.m.