Triple

T21938080
Position Surface form Disambiguated ID Type / Status
Subject Lou-lan E541745 entity
Predicate mentionedIn P831 FINISHED
Object Hanshu 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: Hanshu | Statement: [Lou-lan, mentionedIn, Hanshu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanshu
Context triple: [Lou-lan, mentionedIn, Hanshu]
  • A. Hanshu chosen
    Hanshu is an early Chinese historical text, also known as the Book of Han, that records the history of the Western Han dynasty.
  • B. Shichahai
    Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
  • C. Hakuchi
    Hakuchi is a 1951 Japanese film directed by Akira Kurosawa, adapted from Fyodor Dostoevsky’s novel "The Idiot" and set in postwar Hokkaido.
  • D. Jinguashi
    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.
  • E. Yachimun
    Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241e35bc81909eb3225d5cd97b92 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.