Triple

T6302421
Position Surface form Disambiguated ID Type / Status
Subject Sertão Sergipano E141287 entity
Predicate hasMunicipality P847 FINISHED
Object Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
 E587070 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: Gararu | Statement: [Sertão Sergipano, hasMunicipality, Gararu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gararu
Context triple: [Sertão Sergipano, hasMunicipality, Gararu]
  • A. Furawi
    Furawi is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • B. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • C. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • 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: Gararu
Triple: [Sertão Sergipano, hasMunicipality, Gararu]
Generated description
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gararu
Target entity description: Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • A. Furawi
    Furawi is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • B. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • C. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • D. Chimariko
    Chimariko is an extinct Native American language once spoken by the Chimariko people in northwestern California.
  • E. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603fb43688190839af2ffea45df90 completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6058b65b881908a493891db1613e6 completed March 27, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6060a113881909b424d0c47c2107e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:27 p.m.