Triple

T14996696
Position Surface form Disambiguated ID Type / Status
Subject Lanzhou University E373975 entity
Predicate nativeName P15 FINISHED
Object 兰州大学 E373975 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: 兰州大学 | Statement: [Lanzhou University, nativeName, 兰州大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 兰州大学
Context triple: [Lanzhou University, nativeName, 兰州大学]
  • A. Lanzhou University chosen
    Lanzhou University is a major comprehensive public research university in China, renowned for its strong programs in the natural sciences and its location in the city of Lanzhou, Gansu Province.
  • B. 南开大学
    南开大学 is a prestigious comprehensive research university in Tianjin, China, renowned for its strong academic tradition and influential alumni.
  • C. Lanzhou Jiaotong University
    Lanzhou Jiaotong University is a Chinese higher education institution in Lanzhou, Gansu Province, known for its strengths in transportation engineering and related technical disciplines.
  • D. Hohai University
    Hohai University is a prominent Chinese institution of higher education known for its strong programs in water resources, hydropower engineering, and related fields.
  • E. 西南大学
    西南大学 is a comprehensive national university in Chongqing, China, known for its strengths in teacher education, agriculture, and the humanities and social sciences.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969c3ba88190899f06b185e94ccf completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.