Triple

T2761964
Position Surface form Disambiguated ID Type / Status
Subject Royal Concertgebouw Orchestra E61241 entity
Predicate shortName P43 FINISHED
Object KCO
KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
 E296568 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: KCO | Statement: [Royal Concertgebouw Orchestra, shortName, KCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCO
Context triple: [Royal Concertgebouw Orchestra, shortName, KCO]
  • A. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • B. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • 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: KCO
Triple: [Royal Concertgebouw Orchestra, shortName, KCO]
Generated description
KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCO
Target entity description: KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
  • A. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • B. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5072548190946f037c38aabb02 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04365448190b37e5ed16c16d650 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.