Triple

T14735228
Position Surface form Disambiguated ID Type / Status
Subject DCBL Stadium E346187 entity
Predicate namedAfter P63 FINISHED
Object DCBL
DCBL is a UK-based debt collection and enforcement company known for its high-profile operations and appearances on the television show "Can't Pay? We'll Take It Away!".
 E1117735 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: DCBL | Statement: [DCBL Stadium, namedAfter, DCBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DCBL
Context triple: [DCBL Stadium, namedAfter, DCBL]
  • A. DBK
    DBK is the commonly used abbreviation for the German Bishops' Conference, the assembly of Catholic bishops in Germany.
  • B. CBL
    CBL is the Central Bank of Libya, the country's primary monetary authority responsible for issuing currency and overseeing financial stability.
  • C. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • D. CRL
    CRL is the National Rail station code for Chorley railway station in Lancashire, England.
  • E. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • 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: DCBL
Triple: [DCBL Stadium, namedAfter, DCBL]
Generated description
DCBL is a UK-based debt collection and enforcement company known for its high-profile operations and appearances on the television show "Can't Pay? We'll Take It Away!".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DCBL
Target entity description: DCBL is a UK-based debt collection and enforcement company known for its high-profile operations and appearances on the television show "Can't Pay? We'll Take It Away!".
  • A. DBK
    DBK is the commonly used abbreviation for the German Bishops' Conference, the assembly of Catholic bishops in Germany.
  • B. CBL
    CBL is the Central Bank of Libya, the country's primary monetary authority responsible for issuing currency and overseeing financial stability.
  • C. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • D. CRL
    CRL is the National Rail station code for Chorley railway station in Lancashire, England.
  • E. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0091cea48190a473f8602b05fe7c completed May 8, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69fe010ab2b88190a1099ebba77d4d8b completed May 8, 2026, 3:28 p.m.
Created at: April 10, 2026, 1:29 a.m.