Triple

T20290734
Position Surface form Disambiguated ID Type / Status
Subject Asian Games Hangzhou 2022 E510011 entity
Predicate hasMascotTrio P52 FINISHED
Object Chenchen NE NERFINISHED

How this triple was built (4 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: Chenchen | Statement: [Asian Games Hangzhou 2022, hasMascotTrio, Chenchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chenchen
Context triple: [Asian Games Hangzhou 2022, hasMascotTrio, Chenchen]
  • A. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • B. Chenek
    Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
  • C. Renchen
    Renchen is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, near the Rhine and the French border.
  • D. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • E. Chiney
    Chiney is a Nigerian-American professional basketball player and sports broadcaster best known for her WNBA career and work as an ESPN analyst.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chenchen
Target entity description: Chenchen is one of the three official mascots of the 19th Asian Games Hangzhou 2022, represented as an intelligent robot inspired by local cultural and technological themes.
  • A. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • B. Chenek
    Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
  • C. Renchen
    Renchen is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, near the Rhine and the French border.
  • D. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • E. Chiney
    Chiney is a Nigerian-American professional basketball player and sports broadcaster best known for her WNBA career and work as an ESPN analyst.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMascotTrio
Context triple: [Asian Games Hangzhou 2022, hasMascotTrio, Chenchen]
  • A. partOfMascotTrioWith
    Indicates that an entity is one member of a three-character mascot group that collectively functions as a unified set.
  • B. hasMascot chosen
    Indicates that an entity is represented or symbolized by a particular mascot.
  • C. hasCompanionMascot
    Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
  • D. hasMascotIdentity
    Indicates that an entity serves as or possesses the role/identity of a mascot for another entity.
  • E. hasSiblingMascot
    Indicates that one mascot is a sibling (e.g., brother or sister) of another mascot.
  • F. None of above.

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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67695d4d48190b932317d37aa95d9 completed April 20, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:12 a.m.