Triple

T18639074
Position Surface form Disambiguated ID Type / Status
Subject Estelí Department E455633 entity
Predicate hasMunicipality P847 FINISHED
Object Condega
Condega is a municipality in northern Nicaragua known for its agricultural production and traditional pottery within the Estelí region.
E1334675 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: Condega | Statement: [Estelí Department, hasMunicipality, Condega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Condega
Context triple: [Estelí Department, hasMunicipality, Condega]
  • A. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Cambambe
    Cambambe is a town and municipality in Angola notable for its hydroelectric dam on the Cuanza River and its role in regional energy production.
  • D. Chinandega
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • E. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • 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: Condega
Triple: [Estelí Department, hasMunicipality, Condega]
Generated description
Condega is a municipality in northern Nicaragua known for its agricultural production and traditional pottery within the Estelí region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Condega
Target entity description: Condega is a municipality in northern Nicaragua known for its agricultural production and traditional pottery within the Estelí region.
  • A. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • B. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • C. Cambambe
    Cambambe is a town and municipality in Angola notable for its hydroelectric dam on the Cuanza River and its role in regional energy production.
  • D. Chinandega
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • E. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fcac2d48190a15ce8cc8e175198 completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d8447e48190b496903add62b2bb completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050f560d088190bd23765330dcef47 completed May 13, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a050fc2dd2c81909e3c929f57b299d5 completed May 13, 2026, 11:56 p.m.
Created at: April 10, 2026, 11:47 a.m.