Triple

T17738764
Position Surface form Disambiguated ID Type / Status
Subject Guigang E442794 entity
Predicate administrativeDivision P747 FINISHED
Object Gangbei District 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: Gangbei District | Statement: [Guigang, administrativeDivision, Gangbei District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangbei District
Context triple: [Guigang, administrativeDivision, Gangbei District]
  • A. Gangbei District chosen
    Gangbei District is an urban administrative district that serves as the central area and political hub of Guigang in Guangxi, China.
  • B. Shizhong District
    Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
  • C. Daiyue District
    Daiyue District is an administrative district under the jurisdiction of Tai'an City in Shandong Province, China, known for encompassing part of the Mount Tai scenic area.
  • D. Zhanggong District
    Zhanggong District is the central urban district and administrative, economic, and cultural core of Ganzhou in Jiangxi Province, China.
  • E. Linzi District
    Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acb05848190a4b7edb98f15b8c6 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.