Triple

T28389435
Position Surface form Disambiguated ID Type / Status
Subject 朝天门 E719108 entity
Predicate 行政区划 P44156 FINISHED
Object 中国重庆市渝中区 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: 中国重庆市渝中区 | Statement: [朝天门, 行政区划, 中国重庆市渝中区]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 行政区划
Context triple: [朝天门, 行政区划, 中国重庆市渝中区]
  • A. 行政区
    Indicates a relationship where one entity is an administrative division or jurisdictional area associated with, governed by, or belonging to another entity.
  • B.
    Indicates that the subject municipality is administratively located within the specified district.
  • C. administrativeDistricts chosen
    Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
  • D. administrativeOkrug
    Indicates that one entity functions as an administrative district or okrug governing or encompassing another entity within an administrative hierarchy.
  • E. rankInChineseAdministrativeHierarchy
    Indicates the relative level or position an administrative unit holds within the formal hierarchy of Chinese government administration.
  • 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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64ceb933081909992f16507b0e667 completed May 2, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 1:12 a.m.