Triple

T21775494
Position Surface form Disambiguated ID Type / Status
Subject Green Cargo E537561 entity
Predicate hasAbbreviation P43 FINISHED
Object GC
GC is the abbreviation for Green Cargo, a Swedish state-owned rail freight company specializing in environmentally focused logistics and transportation services.
 E1500419 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: GC | Statement: [Green Cargo, hasAbbreviation, GC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GC
Context triple: [Green Cargo, hasAbbreviation, GC]
  • A. GC
    GC is the common abbreviation for the Guardia Civil, Spain’s national gendarmerie-style law enforcement agency responsible for public security and policing, especially in rural areas.
  • B. GC
    GC is the vehicle registration code used for the island of Gran Canaria in Spain’s Canary Islands.
  • C. GC
    GC is the commonly used abbreviation for Guy Carpenter, a leading global reinsurance and risk management firm.
  • D. GC
    GC is the standard abbreviation for the Grand-Croix, the highest rank in several European orders of chivalry and merit.
  • E. GC
    GC is the commonly used abbreviation for the General Conference of Seventh-day Adventists, the global administrative and leadership body of the Seventh-day Adventist Church.
  • 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: GC
Triple: [Green Cargo, hasAbbreviation, GC]
Generated description
GC is the abbreviation for Green Cargo, a Swedish state-owned rail freight company specializing in environmentally focused logistics and transportation services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GC
Target entity description: GC is the abbreviation for Green Cargo, a Swedish state-owned rail freight company specializing in environmentally focused logistics and transportation services.
  • A. GC
    GC is the commonly used abbreviation for Guy Carpenter, a leading global reinsurance and risk management firm.
  • B. GC
    GC is the common abbreviation for the Guardia Civil, Spain’s national gendarmerie-style law enforcement agency responsible for public security and policing, especially in rural areas.
  • C. GC
    GC is the vehicle registration code used for the island of Gran Canaria in Spain’s Canary Islands.
  • D. GC
    GC is the commonly used abbreviation for the General Conference of Seventh-day Adventists, the global administrative and leadership body of the Seventh-day Adventist Church.
  • E. GC
    GC is the standard abbreviation for the Grand-Croix, the highest rank in several European orders of chivalry and merit.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a367fe0c08190a9dce68881d84513 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a37d389288190a10a9af0ef9e7263 completed May 17, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a0a38343b6c8190b2e49605fad56bf7 completed May 17, 2026, 9:50 p.m.
Created at: April 16, 2026, 6:51 p.m.