Triple

T20587935
Position Surface form Disambiguated ID Type / Status
Subject Ngāti Tama E505835 entity
Predicate traditionalAreaIncludes P48246 FINISHED
Object Mimi
Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
E1440125 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: Mimi | Statement: [Ngāti Tama, traditionalAreaIncludes, Mimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimi
Context triple: [Ngāti Tama, traditionalAreaIncludes, Mimi]
  • A. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • B. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • C. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • D. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • E. Mija
    Mija is the brave young girl protagonist of the film "Okja," who risks everything to rescue her genetically engineered super-pig friend from a powerful corporation.
  • 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: Mimi
Triple: [Ngāti Tama, traditionalAreaIncludes, Mimi]
Generated description
Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mimi
Target entity description: Mimi is a coastal locality in Taranaki, New Zealand, situated within the traditional tribal area of the Māori iwi Ngāti Tama.
  • A. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • B. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • C. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • D. Mimili
    Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
  • E. Mija
    Mija is the brave young girl protagonist of the film "Okja," who risks everything to rescue her genetically engineered super-pig friend from a powerful corporation.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a9790cc08190b48949834cd421d2 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3e433f48190a8c59091b99e6717 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b485c1548190b800fb3e0fe1b138 completed May 16, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08b56d00808190b382041bf0cd0173 completed May 16, 2026, 6:20 p.m.
Created at: April 16, 2026, 11:40 a.m.