Triple

T5103486
Position Surface form Disambiguated ID Type / Status
Subject Chorley railway station E115034 entity
Predicate hasStationCode P1289 FINISHED
Object CRL
CRL is the National Rail station code for Chorley railway station in Lancashire, England.
 E494319 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: CRL | Statement: [Chorley railway station, hasStationCode, CRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CRL
Context triple: [Chorley railway station, hasStationCode, CRL]
  • A. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • B. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • C. 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.
  • D. 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.
  • E. CBLR
    CBLR is a leading student-edited law journal at Columbia Law School that focuses on scholarship in business and corporate law.
  • 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: CRL
Triple: [Chorley railway station, hasStationCode, CRL]
Generated description
CRL is the National Rail station code for Chorley railway station in Lancashire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CRL
Target entity description: CRL is the National Rail station code for Chorley railway station in Lancashire, England.
  • A. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • B. CRL
    CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
  • C. 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.
  • D. 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.
  • E. CBLR
    CBLR is a leading student-edited law journal at Columbia Law School that focuses on scholarship in business and corporate law.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7588c1cc81909d380f91ee214808 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9106ec8190839a7de183efa359 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebafeeca08190baa9344d8628f325 completed March 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69bebc3ba76c8190a141ff7366a94f60 completed March 21, 2026, 3:41 p.m.
Created at: March 20, 2026, 1:41 p.m.