Triple

T6447080
Position Surface form Disambiguated ID Type / Status
Subject Börte E138368 entity
Predicate clan P1915 FINISHED
Object Onggirat
Onggirat was a prominent Mongol tribe known for its close marital and political ties to Genghis Khan’s family.
 E594853 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: Onggirat | Statement: [Börte, clan, Onggirat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Onggirat
Context triple: [Börte, clan, Onggirat]
  • A. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • B. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • C. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • D. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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: Onggirat
Triple: [Börte, clan, Onggirat]
Generated description
Onggirat was a prominent Mongol tribe known for its close marital and political ties to Genghis Khan’s family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Onggirat
Target entity description: Onggirat was a prominent Mongol tribe known for its close marital and political ties to Genghis Khan’s family.
  • A. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • B. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • C. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • D. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64fba85a08190ad270b010294f86a completed March 27, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c6508c2fb481909da94b4f67e95ecf completed March 27, 2026, 9:40 a.m.
Created at: March 22, 2026, 4:46 p.m.