Triple

T20271460
Position Surface form Disambiguated ID Type / Status
Subject Nanwan Subdistrict E499102 entity
Predicate locatedIn P40 FINISHED
Object Longgang 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: Longgang District | Statement: [Nanwan Subdistrict, locatedIn, Longgang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longgang District
Context triple: [Nanwan Subdistrict, locatedIn, Longgang District]
  • A. Longgang District
    Longgang District is an urban administrative district of Huludao City in Liaoning Province, China, known for encompassing much of the city's coastal and central built-up area.
  • B. Longgang District chosen
    Longgang District is a major suburban and industrial district in the eastern part of Shenzhen, China, known for its rapid urban development and manufacturing base.
  • C. Huadu District
    Huadu District is a suburban district in the northern part of Guangzhou, China, known for its growing urban development and transportation links, including metro and rail connections.
  • D. Yu’an District
    Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
  • E. Longquanyi District
    Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675de35188190840dc7d04c1d5fd9 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.