Triple

T22172715
Position Surface form Disambiguated ID Type / Status
Subject Sihor E547961 entity
Predicate countryCode P208 FINISHED
Object IN NE NERFINISHED

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: [Sihor, countryCode, IN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IN
Context triple: [Sihor, countryCode, IN]
  • A. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • B. IN chosen
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • C. IN
    IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
  • D. ININ
    ININ was the NASDAQ stock ticker symbol for Interactive Intelligence, a provider of business communications and contact center software solutions.
  • E. INE
    INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.