Triple

T2536624
Position Surface form Disambiguated ID Type / Status
Subject Department of Management E56282 entity
Predicate shortName P43 FINISHED
Object DM
DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
 E274070 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: DM | Statement: [Department of Management, shortName, DM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DM
Context triple: [Department of Management, shortName, DM]
  • A. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • B. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • E. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • 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: DM
Triple: [Department of Management, shortName, DM]
Generated description
DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DM
Target entity description: DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • A. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • B. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • E. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd297e9a881909e592187a78eacaa completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbf248481908f588bc1cf46d168 completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af43444ba481909311e86f5ab3a2c9 completed March 9, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69af43a2055c8190906a984afe0298c9 completed March 9, 2026, 10:03 p.m.
Created at: March 6, 2026, 9:47 p.m.