Triple

T12146153
Position Surface form Disambiguated ID Type / Status
Subject Peng Shige E289326 entity
Predicate employer P7 FINISHED
Object Shandong University E317310 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: Shandong University | Statement: [Peng Shige, employer, Shandong University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shandong University
Context triple: [Peng Shige, employer, Shandong University]
  • A. Shandong University chosen
    Shandong University is a major comprehensive public research university in China, renowned for its wide range of academic disciplines and long historical legacy.
  • B. Shandong Normal University
    Shandong Normal University is a comprehensive public university in Jinan, China, known for its strong teacher education programs and broad range of disciplines.
  • C. Qingdao University
    Qingdao University is a comprehensive public university in Qingdao, China, known for its wide range of academic disciplines and coastal campus setting.
  • D. University of Jinan
    The University of Jinan is a comprehensive public university located in Jinan, the capital city of Shandong Province in China.
  • E. Ocean University of China
    Ocean University of China is a prominent national research university in Qingdao renowned for its strengths in marine science, oceanography, and fisheries.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716afa8008190b4c518dd6004d87a completed May 3, 2026, 9:34 a.m.
Created at: April 8, 2026, 9:49 p.m.