Triple

T5035288
Position Surface form Disambiguated ID Type / Status
Subject Luohu District E113404 entity
Predicate adjacentTo P224 FINISHED
Object Longgang District E115506 NE 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: Longgang District | Statement: [Luohu District, adjacentTo, Longgang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longgang District
Context triple: [Luohu District, adjacentTo, Longgang District]
  • A. 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.
  • B. Yu’an District
    Yu’an District is an urban administrative district under the jurisdiction of Lu’an City in Anhui Province, China.
  • C. Gongliao District
    Gongliao District is a sparsely populated coastal district in northeastern Taiwan known for its scenic beaches, rugged shoreline, and the Fulong Beach resort area.
  • D. Baoan District
    Baoan District is a major administrative district in Shenzhen, China, known as one of the city’s original and rapidly developing industrial and residential hubs.
  • E. Yinhai District
    Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b9ad488190a2a8c4da8858eb91 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107a4786881908a5fdd26e65e949b completed March 23, 2026, 9:28 a.m.
Created at: March 20, 2026, 1:36 p.m.