Triple

T14602779
Position Surface form Disambiguated ID Type / Status
Subject Oghul-Khoimish E342744 entity
Predicate maritalStatusClaimed P115014 FINISHED
Object wife of Möngke Khan (disputed) LITERAL 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: wife of Möngke Khan (disputed) | Statement: [Oghul-Khoimish, maritalStatusClaimed, wife of Möngke Khan (disputed)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalStatusClaimed
Context triple: [Oghul-Khoimish, maritalStatusClaimed, wife of Möngke Khan (disputed)]
  • A. marital status
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • B. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • C. spouseStatusAtMarriage
    Indicates the marital status each partner held at the time their marriage to one another was formed.
  • D. hasCivilStatus
    Indicates the civil or marital status that applies to a person or entity (e.g., single, married, divorced).
  • E. marriageLegalStatus
    Indicates the legal status of a marriage relationship between entities, such as whether it is valid, invalid, pending, or dissolved under applicable law.
  • F. None of above. chosen

Provenance (4 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656f9f4c81909f815b6629a9ee39 completed April 14, 2026, 4:03 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:25 a.m.