Triple

T28185501
Position Surface form Disambiguated ID Type / Status
Subject Prince of Kang E716166 entity
Predicate successorOfficeOfTitleHolder P119195 FINISHED
Object Emperor of China 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: Emperor of China | Statement: [Prince of Kang, successorOfficeOfTitleHolder, Emperor of China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorOfficeOfTitleHolder
Context triple: [Prince of Kang, successorOfficeOfTitleHolder, Emperor of China]
  • A. successorOfficeHolder
    Indicates that one office holder directly follows another in occupying the same official position.
  • B. successorOfficeTo
    Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
  • C. successorOfficeEstablished
    Indicates that a new office or position was formally created to replace or succeed a previous one.
  • D. successorTitleForHolders chosen
    Indicates that one title is the official successor title that replaces or follows the titles previously held by certain holders.
  • E. successorOfficeOfCoSovereign
    Indicates that one office is the subsequent or replacement office to a previous co-sovereign office in a line of succession.
  • F. None of above.

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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: April 27, 2026, 10:22 p.m.