Triple

T5509599
Position Surface form Disambiguated ID Type / Status
Subject Upper West Region E144529 entity
Predicate hasSettlement P1068 FINISHED
Object Tumu
Tumu is a small town in Ghana’s Upper West Region known as a local administrative and trading center near the country’s northern border.
 E528354 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: Tumu | Statement: [Upper West Region, hasSettlement, Tumu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tumu
Context triple: [Upper West Region, hasSettlement, Tumu]
  • A. Gatotkaca
    Gatotkaca is a powerful, flying warrior hero from the Mahabharata epic, especially revered in Javanese and Balinese traditions.
  • B. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • C. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • D. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • E. Borjigin
    Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
  • 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: Tumu
Triple: [Upper West Region, hasSettlement, Tumu]
Generated description
Tumu is a small town in Ghana’s Upper West Region known as a local administrative and trading center near the country’s northern border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tumu
Target entity description: Tumu is a small town in Ghana’s Upper West Region known as a local administrative and trading center near the country’s northern border.
  • A. Gatotkaca
    Gatotkaca is a powerful, flying warrior hero from the Mahabharata epic, especially revered in Javanese and Balinese traditions.
  • B. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • C. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • D. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • E. Borjigin
    Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c033dc91e08190888fb6e94027fbdb completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c03460b21481908b78aa4bdc989d2c completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:33 p.m.