Triple

T6302427
Position Surface form Disambiguated ID Type / Status
Subject Sertão Sergipano E141287 entity
Predicate hasMunicipality P847 FINISHED
Object Cumbe
Cumbe is a small municipality located in the semi-arid interior of the Brazilian state of Sergipe.
E584606 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: Cumbe | Statement: [Sertão Sergipano, hasMunicipality, Cumbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumbe
Context triple: [Sertão Sergipano, hasMunicipality, Cumbe]
  • A. Kombe
    Kombe is a Bantu language spoken by the Kombe people of coastal Equatorial Guinea and nearby regions, closely related to other Ndowe-area languages.
  • B. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • C. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • D. Casma
    Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
  • E. Pumontincu
    Pumontincu is a regional dialect of the Corsican language traditionally spoken in the island’s mountainous interior areas.
  • 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: Cumbe
Triple: [Sertão Sergipano, hasMunicipality, Cumbe]
Generated description
Cumbe is a small municipality located in the semi-arid interior of the Brazilian state of Sergipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cumbe
Target entity description: Cumbe is a small municipality located in the semi-arid interior of the Brazilian state of Sergipe.
  • A. Kombe
    Kombe is a Bantu language spoken by the Kombe people of coastal Equatorial Guinea and nearby regions, closely related to other Ndowe-area languages.
  • B. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • C. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • D. Casma
    Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
  • E. Pumontincu
    Pumontincu is a regional dialect of the Corsican language traditionally spoken in the island’s mountainous interior areas.
  • 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_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3374b64819090c65e0bfdba116a completed March 27, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69c5f3d2e39c8190b579638ce8897c2d completed March 27, 2026, 3:04 a.m.
Created at: March 22, 2026, 4:27 p.m.