Triple

T9642129
Position Surface form Disambiguated ID Type / Status
Subject Sichuan University E233097 entity
Predicate nativeName P15 FINISHED
Object 四川大学 E233097 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: 四川大学 | Statement: [Sichuan University, nativeName, 四川大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 四川大学
Context triple: [Sichuan University, nativeName, 四川大学]
  • A. Sichuan University chosen
    Sichuan University is a major comprehensive research university in Chengdu, China, known for its wide range of academic disciplines and strong national reputation.
  • B. 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.
  • C. University of Electronic Science and Technology of China
    The University of Electronic Science and Technology of China is a leading Chinese research university renowned for its strengths in electronic engineering, information technology, and related high-tech disciplines.
  • D. 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.
  • E. Chongqing University
    Chongqing University is a major national research university in China known for its strong engineering, technology, and architecture programs.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.