Triple

T20501904
Position Surface form Disambiguated ID Type / Status
Subject Longcheng Subdistrict E503324 entity
Predicate governingBody P46 FINISHED
Object Longcheng Subdistrict Office 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: Longcheng Subdistrict Office | Statement: [Longcheng Subdistrict, governingBody, Longcheng Subdistrict Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longcheng Subdistrict Office
Context triple: [Longcheng Subdistrict, governingBody, Longcheng Subdistrict Office]
  • A. Longcheng Subdistrict chosen
    Longcheng Subdistrict is an urban administrative area within Longgang District of Shenzhen, China, known for its residential communities and local commercial development.
  • B. Fucheng Subdistrict
    Fucheng Subdistrict is an urban administrative division within Longhua District in the city of Shenzhen, Guangdong Province, China.
  • C. Peicheng Subdistrict
    Peicheng Subdistrict is the main urban administrative center of Pei County in Jiangsu Province, China.
  • D. Suicheng Subdistrict
    Suicheng Subdistrict is the main urban administrative area and political center of Suining County in China.
  • E. Guanhu Subdistrict
    Guanhu Subdistrict is an administrative subdivision of Longhua District in Shenzhen, Guangdong Province, China, encompassing a mix of residential, commercial, and industrial areas within the rapidly urbanizing metropolis.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc272a481909329ecd1560989ef completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:35 a.m.