Triple

T9874452
Position Surface form Disambiguated ID Type / Status
Subject Cross Gates railway station E240038 entity
Predicate stationCode P1289 FINISHED
Object CRG
CRG is the National Rail station code for Cross Gates railway station in West Yorkshire, England.
 E826673 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: CRG | Statement: [Cross Gates railway station, stationCode, CRG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CRG
Context triple: [Cross Gates railway station, stationCode, CRG]
  • A. CRGA
    CRGA is the acronym for the Committee of Representatives of Governments and Administrations, a body that brings together governmental and administrative representatives for coordination and decision-making.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. RCG
    RCG is the abbreviated name for RCG Productions, a media production company.
  • D. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • E. CRCL
    CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
  • 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: CRG
Triple: [Cross Gates railway station, stationCode, CRG]
Generated description
CRG is the National Rail station code for Cross Gates railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CRG
Target entity description: CRG is the National Rail station code for Cross Gates railway station in West Yorkshire, England.
  • A. CRGA
    CRGA is the acronym for the Committee of Representatives of Governments and Administrations, a body that brings together governmental and administrative representatives for coordination and decision-making.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. RCG
    RCG is the abbreviated name for RCG Productions, a media production company.
  • D. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • E. CRCL
    CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f89fa081908b58956902c193cf completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47515788190b6644021e187e771 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e57366748190bf617374264d1873 completed April 5, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5ed9818819095119c3478f97419 completed April 5, 2026, 4:32 a.m.
Created at: March 30, 2026, 8:37 p.m.