Triple

T262159
Position Surface form Disambiguated ID Type / Status
Subject China E5561 entity
Predicate civilizationStatus P7829 FINISHED
Object one of the world's oldest continuous civilizations 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: one of the world's oldest continuous civilizations | Statement: [China, civilizationStatus, one of the world's oldest continuous civilizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: civilizationStatus
Context triple: [China, civilizationStatus, one of the world's oldest continuous civilizations]
  • A. civilization chosen
    Indicates that an entity is a civilization, i.e., a complex, organized human society characterized by structured institutions, culture, and social systems.
  • B. historicalEmpireCenter
    Indicates that a location served as the primary political or administrative center of a historical empire.
  • C. legalStatusAfterWar
    Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
  • D. hasHistoricalEmpire
    Indicates that an entity once possessed, controlled, or was associated with a significant imperial power in the past.
  • E. occupationPeriod
    Indicates the time span during which an entity holds or held a particular occupation or 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e2aba74819093eddd8d820260c0 completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b6c968c819094fc903a3a377e15 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.