Triple

T1208641
Position Surface form Disambiguated ID Type / Status
Subject Hopi Reservation E25947 entity
Predicate contains P35 FINISHED
Object Mishongnovi
Mishongnovi is a traditional Hopi village in northeastern Arizona, known as one of the oldest continuously inhabited settlements in North America.
E149486 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: Mishongnovi | Statement: [Hopi Reservation, contains, Mishongnovi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mishongnovi
Context triple: [Hopi Reservation, contains, Mishongnovi]
  • A. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • 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. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • D. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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: Mishongnovi
Triple: [Hopi Reservation, contains, Mishongnovi]
Generated description
Mishongnovi is a traditional Hopi village in northeastern Arizona, known as one of the oldest continuously inhabited settlements in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mishongnovi
Target entity description: Mishongnovi is a traditional Hopi village in northeastern Arizona, known as one of the oldest continuously inhabited settlements in North America.
  • A. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • 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. Tshiilafuri
    Tshiilafuri is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • D. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde18d208190848c189b2b8d585f completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f6f3e4819099310a5e21455c21 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3ff59488190a05fd3400e76dd56 completed March 7, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69acb47f0b088190b3eb32101c5e6f89 completed March 7, 2026, 11:27 p.m.
Created at: March 1, 2026, 7:46 p.m.