Triple

T15954469
Position Surface form Disambiguated ID Type / Status
Subject Triton Island E386898 entity
Predicate administeredBy P86 FINISHED
Object Sansha City E323837 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: Sansha City | Statement: [Triton Island, administeredBy, Sansha City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sansha City
Context triple: [Triton Island, administeredBy, Sansha City]
  • A. Sansha City chosen
    Sansha City is a prefecture-level city established by China to administer several disputed island groups and surrounding waters in the South China Sea.
  • B. Jiande
    Jiande was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Jiande
    Jiande is a county-level city in Zhejiang Province, China, known for its scenic landscapes along the Fuchun River and its mix of historical and modern urban development.
  • D. Yuhuan City
    Yuhuan City is a county-level coastal city under the administration of Taizhou in Zhejiang Province, China, known for its marine economy and island landscapes.
  • E. Jiangshan
    Jiangshan is a county-level city in western Zhejiang Province, China, administered by the prefecture-level city of Quzhou.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.