Triple

T198327
Position Surface form Disambiguated ID Type / Status
Subject IN E4045 entity
Predicate hasAlpha3Code P208 FINISHED
Object IND E1124 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: IND | Statement: [IN, hasAlpha3Code, IND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IND
Context triple: [IN, hasAlpha3Code, IND]
  • A. IND
    IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
  • B. IN
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • C. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • D. INC
    INC is a major Indian political party, historically associated with the country’s independence movement and governance after independence.
  • E. Indonesia
    Indonesia is a large Southeast Asian nation made up of thousands of islands, known for its diverse cultures, significant natural resources, and status as one of the world’s largest emerging economies.
  • 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: hasAlpha3Code
Context triple: [IN, hasAlpha3Code, IND]
  • A. hasISOCode
    Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
  • B. ISOCode chosen
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • C. hasFourLetterCode
    Indicates that an entity is associated with a code consisting of exactly four characters.
  • D. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • E. isTwoLetterCode
    Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c93aa348190a7555a8327f7ad99 completed Feb. 28, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69a25b47481c8190add47c641c977bb9 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:44 a.m.