Triple

T18062308
Position Surface form Disambiguated ID Type / Status
Subject BVMT E432203 entity
Predicate ISO4217CurrencyCode P208 FINISHED
Object TND 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: TND | Statement: [BVMT, ISO4217CurrencyCode, TND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TND
Context triple: [BVMT, ISO4217CurrencyCode, TND]
  • A. TND chosen
    TND is the Tunisian dinar, the official currency of Tunisia.
  • B. T&P
    T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
  • C. TNP
    TNP is a renowned French public theatre institution known for making high-quality dramatic works accessible to a broad audience.
  • D. TANDTC
    TANDTC is the official Vietnamese abbreviation for the Supreme People’s Court of Vietnam, the country’s highest judicial authority.
  • E. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c107351c8190a2bfdb46754c2c6e completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.