Triple

T2304869
Position Surface form Disambiguated ID Type / Status
Subject Indian/Christmas E51814 entity
Predicate appliesToISO3166Code P21296 FINISHED
Object CX LITERAL 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: CX | Statement: [Indian/Christmas, appliesToISO3166Code, CX]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToISO3166Code
Context triple: [Indian/Christmas, appliesToISO3166Code, CX]
  • A. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • B. appliesToPersonNationality
    Indicates that something is relevant or applicable specifically to a person’s nationality.
  • C. sharesISO3166CodeWith
    Indicates that two entities are associated with and use the same ISO 3166 country code.
  • D. appliesToTerritorialEntity chosen
    Indicates that something (such as a rule, measure, status, or attribute) is valid for, relevant to, or in effect within a specific territorial entity.
  • E. hasISO3166-1NumericCode
    Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abce1f4f0c8190a714e4dcb8449f7e completed March 7, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69abc58ce2a081908ce2f0cadd92e9f8 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.