Triple
T23754665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquidabã |
E587071
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
mesoregion of Agreste Sergipano
The mesoregion of Agreste Sergipano is a geographic and socio-economic subdivision in the Brazilian state of Sergipe, characterized as a transitional zone between the coastal area and the semi-arid hinterland.
|
E1619652
|
NE FINISHED |
How this triple was built (2 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: mesoregion of Agreste Sergipano | Statement: [Aquidabã, partOf, mesoregion of Agreste Sergipano]
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: mesoregion of Agreste Sergipano Triple: [Aquidabã, partOf, mesoregion of Agreste Sergipano]
Generated description
The mesoregion of Agreste Sergipano is a geographic and socio-economic subdivision in the Brazilian state of Sergipe, characterized as a transitional zone between the coastal area and the semi-arid hinterland.
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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc561b081908bfd516ef5e2dcfd |
completed | April 29, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0facef46e88190bb190f64770b7e1b |
completed | May 22, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0fae10893c819092a3ecd95b6b9198 |
completed | May 22, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0faf36d68881909ac3b5d6328efc8f |
completed | May 22, 2026, 1:19 a.m. |
Created at: April 17, 2026, 7:13 p.m.