Triple

T867774
Position Surface form Disambiguated ID Type / Status
Subject IN-DL E18743 entity
Predicate alpha2CountryCode P19525 FINISHED
Object IN 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: IN | Statement: [IN-DL, alpha2CountryCode, IN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alpha2CountryCode
Context triple: [IN-DL, alpha2CountryCode, IN]
  • A. ISO3166-1Code chosen
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • B. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • C. isTwoLetterCode
    Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
  • D. UNLOCODECountryCode
    Indicates that an entity is associated with a specific country code as defined by the UN/LOCODE standard.
  • E. UNLOCODE
    Indicates that an entity is associated with a specific UN/LOCODE, i.e., a standardized United Nations location code identifying a particular place used in international trade and transport.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7e12b0819084d25b9a66888a91 completed March 1, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69a4aa87504481909618a6815948da6f completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.