Triple

T21588321
Position Surface form Disambiguated ID Type / Status
Subject Chengzong E532710 entity
Predicate house P1505 FINISHED
Object Borjigin NE NERFINISHED

How this triple was built (2 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: Borjigin | Statement: [Chengzong, house, Borjigin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borjigin
Context triple: [Chengzong, house, Borjigin]
  • A. Borjigin chosen
    Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
  • B. Toghrïl
    Toghrïl was a prominent 11th-century Seljuk leader and sultan who played a key role in establishing Seljuk dominance in the Islamic world.
  • C. Ordos
    Ordos is a major city and prefecture-level region in southwestern Inner Mongolia, China, known for its vast coal reserves, rapid urban development, and the famous Kangbashi New Area.
  • D. Zalingei
    Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
  • E. Ulanqab
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.