Triple

T680286
Position Surface form Disambiguated ID Type / Status
Subject Jiangsu E13166 entity
Predicate hasAdministrativeLevel P275 FINISHED
Object provincial-level 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: provincial-level | Statement: [Jiangsu, hasAdministrativeLevel, provincial-level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeLevel
Context triple: [Jiangsu, hasAdministrativeLevel, provincial-level]
  • A. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • B. hasDivisionLevel chosen
    Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
  • C. containsAdministrativeTerritory
    Indicates that one administrative unit geographically or jurisdictionally includes another administrative territory within its boundaries.
  • D. appliesToAdministrativeTerritory
    Indicates that something (such as a rule, measure, or status) is valid for, relevant to, or in force within a specific administrative territory.
  • E. hasAdministrativeCenter
    Indicates that an administrative unit (such as a region, district, or municipality) has a specific place designated as its main governing or administrative center.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04f4efc819082767a7517fa760a completed March 1, 2026, 8:23 p.m.
PD Predicate disambiguation batch_69a49d1d79608190a849ba9ffad2879d completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.