Triple

T17585564
Position Surface form Disambiguated ID Type / Status
Subject E428311 entity
Predicate hasSuccessorPolities P37077 FINISHED
Object later Chinese administrative units in the same region 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: later Chinese administrative units in the same region | Statement: [邾, hasSuccessorPolities, later Chinese administrative units in the same region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuccessorPolities
Context triple: [邾, hasSuccessorPolities, later Chinese administrative units in the same region]
  • A. hasSuccessorRegime
    Indicates that one regime follows and replaces another as its direct successor in a sequence of governing authorities.
  • B. hasSuccession
    Indicates that one entity follows or replaces another in a sequence, order, or position, forming a succession relationship between them.
  • C. successorTerritorialEntity chosen
    Indicates that one territorial entity directly follows and replaces another in governing authority or jurisdiction over a given area.
  • D. hasSuccessorIdeology
    Indicates that one ideology follows, replaces, or develops from another as its subsequent ideological form or movement.
  • E. hasCitySuccessor
    Indicates that one city is the successor or replacement of another city, typically in terms of status, function, or administrative role.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.