Triple

T13189998
Position Surface form Disambiguated ID Type / Status
Subject Shilin District E313956 entity
Predicate borders P224 FINISHED
Object Neihu District E343403 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: Neihu District | Statement: [Shilin District, borders, Neihu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neihu District
Context triple: [Shilin District, borders, Neihu District]
  • A. Neihu District chosen
    Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
  • B. Huichuan District
    Huichuan District is an urban administrative district within the prefecture-level city of Zunyi in Guizhou Province, China.
  • C. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • D. Linwei District
    Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
  • E. Yunhe District
    Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac754aec8190a5b975c9965eef61 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:15 p.m.