Triple

T9021058
Position Surface form Disambiguated ID Type / Status
Subject IN-TR E215722 entity
Predicate codeSetPart P35800 FINISHED
Object ISO 3166-2:IN E100868 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: ISO 3166-2:IN | Statement: [IN-TR, codeSetPart, ISO 3166-2:IN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 3166-2:IN
Context triple: [IN-TR, codeSetPart, ISO 3166-2:IN]
  • A. ISO 3166-2:IN chosen
    ISO 3166-2:IN is the section of the ISO 3166 standard that defines internationally recognized subdivision codes for the states and union territories of India.
  • B. ISO 3166-2:CR
    ISO 3166-2:CR is the ISO 3166-2 entry that defines the official subdivision codes for the provinces of Costa Rica.
  • C. ISO 3166-2:ST
    ISO 3166-2:ST is the ISO 3166-2 entry that defines the principal subdivision codes for São Tomé and Príncipe.
  • D. ISO 3166-2:SM
    ISO 3166-2:SM is the subdivision code set within the ISO 3166-2 standard that defines codes for the principal subdivisions of San Marino.
  • E. ISO 3166-2:PK
    ISO 3166-2:PK is the section of the ISO 3166-2 standard that defines the official subdivision codes for the provinces and territories of Pakistan.
  • 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: codeSetPart
Context triple: [IN-TR, codeSetPart, ISO 3166-2:IN]
  • A. codeSection
    Indicates a specific segment or subsection within a larger body of code that is distinguished for reference, organization, or analysis.
  • B. segmentCode
    Indicates a code that identifies or classifies a specific segment within a larger structure, sequence, or process.
  • C. proposedPart
    Indicates that one entity has been suggested or put forward to serve as a component or element of another entity.
  • D. codeFor
    Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
  • E. formatPartOf chosen
    Indicates that one entity functions as a component or segment within the overall structure or composition of another 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:07 p.m.