Triple

T16154689
Position Surface form Disambiguated ID Type / Status
Subject Ruifang District E392007 entity
Predicate contains P35 FINISHED
Object Jinguashi E1168173 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: Jinguashi | Statement: [Ruifang District, contains, Jinguashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinguashi
Context triple: [Ruifang District, contains, Jinguashi]
  • A. Jinguashi chosen
    Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
  • B. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • C. Shishi
    Shishi is a coastal county-level city in Fujian Province, China, known as a major center for the textile and garment industry.
  • D. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • E. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5902a08190ad8694955ef6073a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ae46dc81908cba9152a6080c3a completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.