Triple

T21518985
Position Surface form Disambiguated ID Type / Status
Subject Niibo E530922 entity
Predicate partOf P40 FINISHED
Object Sado 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: Sado District | Statement: [Niibo, partOf, Sado District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sado District
Context triple: [Niibo, partOf, Sado District]
  • A. Sado District chosen
    Sado District was a former administrative district in Niigata Prefecture, Japan, historically encompassing parts of Sado Island before its municipalities were merged into the city of Sado.
  • B. Shimajiri District
    Shimajiri District is a rural administrative district in Okinawa Prefecture, Japan, encompassing several islands and coastal areas in the southern part of the prefecture.
  • C. Washir District
    Washir District is an administrative district in Helmand Province in southern Afghanistan, known for its rural communities and proximity to other key Helmand districts such as Nad Ali.
  • D. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • E. Hama District
    Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:25 p.m.