Triple

T1934674
Position Surface form Disambiguated ID Type / Status
Subject Blu-ray Disc E41417 entity
Predicate abbreviatedAs P43 FINISHED
Object BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
E215059 NE FINISHED

How this triple was built (4 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: BDA | Statement: [Blu-ray Disc, abbreviatedAs, BDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BDA
Context triple: [Blu-ray Disc, abbreviatedAs, BDA]
  • A. BDA
    BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
  • B. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • C. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • D. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • E. DBAP
    DBAP is the commonly used abbreviation for Durham Bulls Athletic Park, a minor league baseball stadium in Durham, North Carolina.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BDA
Triple: [Blu-ray Disc, abbreviatedAs, BDA]
Generated description
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BDA
Target entity description: BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
  • A. BDA
    BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
  • B. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • C. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • D. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • E. DBAP
    DBAP is the commonly used abbreviation for Durham Bulls Athletic Park, a minor league baseball stadium in Durham, North Carolina.
  • F. None of above. chosen

Provenance (5 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29b51408190afb2f918814e68c7 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf472aca881908d99cf5bfcae3094 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50d93c88190aa1cbf96526558b6 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.