Triple

T21588363
Position Surface form Disambiguated ID Type / Status
Subject Temür Öljeytü E532711 entity
Predicate spouse P13 FINISHED
Object Bulugan NE NERFINISHED

How this triple was built (3 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: Bulugan | Statement: [Temür Öljeytü, spouse, Bulugan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulugan
Context triple: [Temür Öljeytü, spouse, Bulugan]
  • A. Buk-gu
    Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • B. Buk-gu
    Buk-gu is a northern administrative district of Daegu, South Korea, known for its residential neighborhoods, educational institutions, and commercial areas.
  • C. Buk-gu
    Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
  • D. Buk-gu
    Buk-gu is a northern district of the coastal city of Pohang in South Korea, known for its industrial facilities and residential areas.
  • E. Sengan-en
    Sengan-en is a historic Japanese garden and former Shimazu clan villa in Kagoshima, renowned for its scenic views of Sakurajima and traditional landscape design.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bulugan
Target entity description: Bulugan was a Mongol noblewoman best known as the principal wife and empress consort of Yuan dynasty ruler Temür Öljeytü (Emperor Chengzong of Yuan).
  • A. Buk-gu
    Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • B. Buk-gu
    Buk-gu is a northern district of the coastal city of Pohang in South Korea, known for its industrial facilities and residential areas.
  • C. Buk-gu
    Buk-gu is a northern administrative district of Daegu, South Korea, known for its residential neighborhoods, educational institutions, and commercial areas.
  • D. Buk-gu
    Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
  • E. Sengan-en
    Sengan-en is a historic Japanese garden and former Shimazu clan villa in Kagoshima, renowned for its scenic views of Sakurajima and traditional landscape design.
  • F. None of above. chosen

Provenance (2 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb621ab88190a33a943424ffb306 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.