Triple

T15094107
Position Surface form Disambiguated ID Type / Status
Subject Independiente Medellín E360493 entity
Predicate shortName P43 FINISHED
Object DIM
DIM is the commonly used abbreviation for Deportivo Independiente Medellín, a professional football club based in Medellín, Colombia.
 E1137536 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: DIM | Statement: [Independiente Medellín, shortName, DIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIM
Context triple: [Independiente Medellín, shortName, DIM]
  • A. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. DM
    DM is the specially designed docking module that enabled Space Shuttle orbiters to safely dock with the Russian Mir space station during the Shuttle–Mir program.
  • D. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • E. 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.
  • 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: DIM
Triple: [Independiente Medellín, shortName, DIM]
Generated description
DIM is the commonly used abbreviation for Deportivo Independiente Medellín, a professional football club based in Medellín, Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIM
Target entity description: DIM is the commonly used abbreviation for Deportivo Independiente Medellín, a professional football club based in Medellín, Colombia.
  • A. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. DM
    DM is the specially designed docking module that enabled Space Shuttle orbiters to safely dock with the Russian Mir space station during the Shuttle–Mir program.
  • D. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • E. DM
    DM is the vehicle registration code used on license plates for the town of Demmin in Germany.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae21134c81908939ad6ce46703d8 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb37427a881908cf95f60b06251d4 completed May 9, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69feb429517c8190a91cc6b50345d889 completed May 9, 2026, 4:12 a.m.
Created at: April 10, 2026, 3:04 a.m.