Triple

T5189011
Position Surface form Disambiguated ID Type / Status
Subject Darrell K Royal–Texas Memorial Stadium E117102 entity
Predicate hasNickname P39 FINISHED
Object DKR
DKR is a common shorthand for Darrell K Royal–Texas Memorial Stadium, the University of Texas at Austin’s iconic football stadium and home of the Texas Longhorns.
 E502186 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: DKR | Statement: [Darrell K Royal–Texas Memorial Stadium, hasNickname, DKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DKR
Context triple: [Darrell K Royal–Texas Memorial Stadium, hasNickname, DKR]
  • A. DKR
    DKR is the IATA airport code for Léopold Sédar Senghor International Airport, the former main international gateway to Dakar, Senegal.
  • B. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • C. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • D. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • E. DK
    DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
  • 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: DKR
Triple: [Darrell K Royal–Texas Memorial Stadium, hasNickname, DKR]
Generated description
DKR is a common shorthand for Darrell K Royal–Texas Memorial Stadium, the University of Texas at Austin’s iconic football stadium and home of the Texas Longhorns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DKR
Target entity description: DKR is a common shorthand for Darrell K Royal–Texas Memorial Stadium, the University of Texas at Austin’s iconic football stadium and home of the Texas Longhorns.
  • A. DKR
    DKR is the IATA airport code for Léopold Sédar Senghor International Airport, the former main international gateway to Dakar, Senegal.
  • B. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • C. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • D. DK
    DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
  • E. DK
    DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08af954819080dbe7ea1ac6ddb0 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee5fc0c408190b4ad4b77e0045182 completed March 21, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69bee6b954c08190a353ebcfe829888a completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.