Triple

T9909522
Position Surface form Disambiguated ID Type / Status
Subject China League One E185103 entity
Predicate shortName P43 FINISHED
Object China League One E185103 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: China League One | Statement: [China League One, shortName, China League One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China League One
Context triple: [China League One, shortName, China League One]
  • A. China League One chosen
    China League One is the second tier of professional football in the Chinese league system, sitting below the Chinese Super League.
  • B. China League Two
    China League Two is the third tier of professional football in China, sitting below the Chinese Super League and China League One in the national league system.
  • C. Chinese Jia-A League
    The Chinese Jia-A League was the former top-tier professional football league in China before it was succeeded by the Chinese Super League.
  • D. Chinese Super League
    The Chinese Super League is the top professional football division in China, featuring many domestic and international players and clubs.
  • E. Excellence League (China)
    Excellence League (China) is a consortium of leading Chinese universities focused on collaborative innovation, research, and talent cultivation.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228a405908190ad63ebd659779ed7 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:41 p.m.