Triple

T14530453
Position Surface form Disambiguated ID Type / Status
Subject Wolters Kluwer E340897 entity
Predicate hasSubsidiary P254 FINISHED
Object CCH
CCH is a leading provider of tax, accounting, and legal information, software, and services, operating as a major business unit of Wolters Kluwer.
 E1104292 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: CCH | Statement: [Wolters Kluwer, hasSubsidiary, CCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CCH
Context triple: [Wolters Kluwer, hasSubsidiary, CCH]
  • A. CHH
    CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
  • B. CHH
    CHH is the ICAO airline designator used to identify Hainan Airlines in international aviation operations.
  • C. CHC
    CHC is the IATA airport code for Christchurch International Airport, the main airport serving Christchurch and the South Island of New Zealand.
  • D. CCK
    CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
  • E. CCT
    CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
  • 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: CCH
Triple: [Wolters Kluwer, hasSubsidiary, CCH]
Generated description
CCH is a leading provider of tax, accounting, and legal information, software, and services, operating as a major business unit of Wolters Kluwer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CCH
Target entity description: CCH is a leading provider of tax, accounting, and legal information, software, and services, operating as a major business unit of Wolters Kluwer.
  • A. CHH
    CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
  • B. CHH
    CHH is the ICAO airline designator used to identify Hainan Airlines in international aviation operations.
  • C. CHC
    CHC is the IATA airport code for Christchurch International Airport, the main airport serving Christchurch and the South Island of New Zealand.
  • D. CCK
    CCK is the IATA airport code for Cocos (Keeling) Islands Airport, serving the Cocos (Keeling) Islands in the Indian Ocean.
  • E. CCT
    CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7be2dc0c8190b8950a1f43ce13ab completed May 8, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69fd7c6422e08190b149efdf58c3572a completed May 8, 2026, 6:02 a.m.
Created at: April 10, 2026, 1:22 a.m.