Triple

T6321434
Position Surface form Disambiguated ID Type / Status
Subject Zhenjin E141746 entity
Predicate spouse P13 FINISHED
Object Kökejin E535972 NE FINISHED

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: Kökejin | Statement: [Zhenjin, spouse, Kökejin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kökejin
Context triple: [Zhenjin, spouse, Kökejin]
  • A. Kökejin chosen
    Kökejin was a Mongol noblewoman of the Yuan dynasty best known as the mother of Emperor Temür Khan.
  • B. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • C. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • D. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • E. Köchü
    Köchü was a 13th-century Mongol prince of the Borjigin dynasty, known as one of Ögedei Khan’s sons who held influence within the early Mongol Empire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c76dfc8190a1d44fd0c4402a0e completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48a8c5c819099f21fdff1ce43f3 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.