Triple

T6217871
Position Surface form Disambiguated ID Type / Status
Subject Western Region E139034 entity
Predicate containsCity P294 FINISHED
Object Prestea
Prestea is a mining town in southwestern Ghana known for its significant gold deposits and long history of gold extraction.
E577143 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: Prestea | Statement: [Western Region, containsCity, Prestea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prestea
Context triple: [Western Region, containsCity, Prestea]
  • A. Balanta
    The Balanta are a major West African ethnic group primarily found in Guinea-Bissau, known for their rice farming traditions, decentralized social organization, and rich musical and ritual culture.
  • B. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • C. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • D. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • E. Pernaja
    Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
  • 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: Prestea
Triple: [Western Region, containsCity, Prestea]
Generated description
Prestea is a mining town in southwestern Ghana known for its significant gold deposits and long history of gold extraction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prestea
Target entity description: Prestea is a mining town in southwestern Ghana known for its significant gold deposits and long history of gold extraction.
  • A. Balanta
    The Balanta are a major West African ethnic group primarily found in Guinea-Bissau, known for their rice farming traditions, decentralized social organization, and rich musical and ritual culture.
  • B. Placencia
    Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
  • C. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • D. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • E. Pernaja
    Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c20ff2bb188190baf8a849efc15f87 completed March 24, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c21365f8f48190970555bd9593b5a4 completed March 24, 2026, 4:30 a.m.
Created at: March 22, 2026, 4:21 p.m.