Triple

T4511503
Position Surface form Disambiguated ID Type / Status
Subject Liu Bocheng E102063 entity
Predicate workLocation P7 FINISHED
Object Yan'an E54943 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: Yan'an | Statement: [Liu Bocheng, workLocation, Yan'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yan'an
Context triple: [Liu Bocheng, workLocation, Yan'an]
  • A. Yan'an chosen
    Yan'an is a historic city in China's Shaanxi province that served as the Chinese Communist Party's revolutionary base and political center during the late 1930s and 1940s.
  • B. Yulin
    Yulin is a prefecture-level city in southeastern China known for its role as a regional commercial hub and for its controversial annual dog meat festival.
  • C. Yulin
    Yulin is a prefecture-level city in northern China known for its coal resources and location on the Loess Plateau near the border with Inner Mongolia.
  • D. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • E. Luchuan
    Luchuan is the endonym used by the Ryukyuan people to refer to themselves and their language and culture native to the Ryukyu Islands of Japan.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f875c4c81909e67d44b605816c2 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.