Triple

T7124063
Position Surface form Disambiguated ID Type / Status
Subject Bharathidasan University E166015 entity
Predicate abbreviation P43 FINISHED
Object BDU E290802 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: BDU | Statement: [Bharathidasan University, abbreviation, BDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BDU
Context triple: [Bharathidasan University, abbreviation, BDU]
  • A. BDU chosen
    BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
  • B. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • C. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • D. BDT
    BDT is the ISO 4217 currency code for the Bangladeshi taka, the official currency of Bangladesh.
  • E. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ab1f881908bc2468cc72d2544 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a331ff988190886bde89035623c0 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.