Triple

T6696234
Position Surface form Disambiguated ID Type / Status
Subject Samoyedic languages E152757 entity
Predicate includesLanguage P2177 FINISHED
Object Mator
Mator is an extinct Samoyedic language once spoken in parts of Siberia.
 E612645 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: Mator | Statement: [Samoyedic languages, includesLanguage, Mator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mator
Context triple: [Samoyedic languages, includesLanguage, Mator]
  • A. Mantoro
    Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Malthace
    Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
  • D. Barugon
    Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
  • E. Mazaces
    Mazaces was a late Achaemenid Persian official who briefly governed Egypt as satrap during the empire’s final years before Alexander the Great’s conquest.
  • 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: Mator
Triple: [Samoyedic languages, includesLanguage, Mator]
Generated description
Mator is an extinct Samoyedic language once spoken in parts of Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mator
Target entity description: Mator is an extinct Samoyedic language once spoken in parts of Siberia.
  • A. Mantoro
    Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Malthace
    Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
  • D. Barugon
    Barugon is a giant kaiju from the Gamera film series, known for its lizard-like appearance and deadly freezing and rainbow-beam abilities.
  • E. Mazaces
    Mazaces was a late Achaemenid Persian official who briefly governed Egypt as satrap during the empire’s final years before Alexander the Great’s conquest.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b197ccb48190a540feecb2d9c70b completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86efd00819099d48fe7cb9640a3 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f91ac7788190832a133c4fe046f1 completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.