Triple

T11993735
Position Surface form Disambiguated ID Type / Status
Subject CR Belouizdad E285475 entity
Predicate shortName P43 FINISHED
Object CRB
CRB is the commonly used abbreviation for CR Belouizdad, a prominent Algerian football club based in Algiers.
 E701745 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: CRB | Statement: [CR Belouizdad, shortName, CRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CRB
Context triple: [CR Belouizdad, shortName, CRB]
  • A. CRB
    CRB is the station code for Cornbrook tram stop on the Manchester Metrolink light rail network in England.
  • B. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • C. CRD
    CRD is the IATA airport code for General Enrique Mosconi International Airport serving Comodoro Rivadavia in Argentina.
  • D. CRD
    CRD is the regional code for the Capital Regional District, a local government administrative area on southern Vancouver Island in British Columbia, Canada.
  • E. CRK
    CRK is the National Rail station code for Chirk railway station in Wrexham, Wales.
  • 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: CRB
Triple: [CR Belouizdad, shortName, CRB]
Generated description
CRB is the commonly used abbreviation for CR Belouizdad, a prominent Algerian football club based in Algiers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CRB
Target entity description: CRB is the commonly used abbreviation for CR Belouizdad, a prominent Algerian football club based in Algiers.
  • A. CRB chosen
    CRB is the station code for Cornbrook tram stop on the Manchester Metrolink light rail network in England.
  • B. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • C. CRD
    CRD is the IATA airport code for General Enrique Mosconi International Airport serving Comodoro Rivadavia in Argentina.
  • D. CRD
    CRD is the regional code for the Capital Regional District, a local government administrative area on southern Vancouver Island in British Columbia, Canada.
  • E. CRK
    CRK is the National Rail station code for Chirk railway station in Wrexham, Wales.
  • F. None of above.

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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47273e1088190b899071baff1375a completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7d4ef081908f7f87d90c00d9ed completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47de8c9e48190af01918c9cd94c7d completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.