Triple

T21713895
Position Surface form Disambiguated ID Type / Status
Subject Kökejin E535972 entity
Predicate spouse P13 FINISHED
Object Zhenjin 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: Zhenjin | Statement: [Kökejin, spouse, Zhenjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhenjin
Context triple: [Kökejin, spouse, Zhenjin]
  • A. Zhenjin chosen
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • B. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • C. Jingkang
    Jingkang was the final era name of the Northern Song dynasty, marking the tumultuous period that culminated in the Jingkang Incident and the dynasty’s fall to the Jurchen Jin.
  • D. Xinzhu
    Xinzhu is a city that serves as a sister city to Bielefeld, Germany, and is likely a regional urban center with cultural and economic significance.
  • E. Shenyuan
    Shenyuan was the era name used during part of the reign of Emperor Taiwu of the Northern Wei dynasty in early medieval China.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5369be88190bafc10863d4d1bd7 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:47 p.m.