Triple

T22157380
Position Surface form Disambiguated ID Type / Status
Subject Talaja E547574 entity
Predicate countryCode P208 FINISHED
Object IN E4045 NE 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: [Talaja, countryCode, IN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IN
Context triple: [Talaja, countryCode, IN]
  • A. IN chosen
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • B. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • 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 (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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2aadb48190b4d739d1df9529db completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970c925481908d8f1135703f7050 completed May 18, 2026, 4:35 a.m.
Created at: April 16, 2026, 8:33 p.m.