Triple

T12162888
Position Surface form Disambiguated ID Type / Status
Subject Avataṃsaka Sutra E289750 entity
Predicate geographicInfluence P19397 FINISHED
Object China E5561 NE FINISHED

How this triple was built (3 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 | Statement: [Avataṃsaka Sutra, geographicInfluence, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China
Context triple: [Avataṃsaka Sutra, geographicInfluence, China]
  • A. China chosen
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • B. Kinas
    Kinas is the official rooster mascot created for the UEFA Euro 2004 football championship held in Portugal.
  • C. Chung Kuo
    "Chung Kuo" is an instrumental electronic music track by Vangelis from his 1979 album "China," evoking an atmospheric, synthesizer-driven portrait of China.
  • D. kina
    Kina is the official currency of Papua New Guinea, used for everyday transactions and financial activities throughout the country.
  • E. Chini
    Chini is a town that is twinned with Günzburg, Germany, as part of an international municipal partnership.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicInfluence
Context triple: [Avataṃsaka Sutra, geographicInfluence, China]
  • A. geographicalEffect
    Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
  • B. influencesRegion chosen
    Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
  • C. geographicContext
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • D. hasRegionalInfluenceFrom
    Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
  • E. cityOfInfluence
    Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
  • F. None of above.

Provenance (4 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a66711481909fe0b0d3b2934601 completed May 2, 2026, 2:29 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.