Triple

T11493504
Position Surface form Disambiguated ID Type / Status
Subject Chafford Hundred railway station E272473 entity
Predicate stationCode P1289 FINISHED
Object CFH
CFH is the National Rail station code for Chafford Hundred railway station in Essex, England.
 E929044 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: CFH | Statement: [Chafford Hundred railway station, stationCode, CFH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFH
Context triple: [Chafford Hundred railway station, stationCode, CFH]
  • A. FCH
    FCH is the common abbreviation and nickname for 1. FC Heidenheim, a German professional football club.
  • B. CFHS
    CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • C. HFC
    HFC is the common abbreviation for Hibernian Football Club, a professional football team based in Edinburgh, Scotland.
  • D. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • E. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • 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: CFH
Triple: [Chafford Hundred railway station, stationCode, CFH]
Generated description
CFH is the National Rail station code for Chafford Hundred railway station in Essex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFH
Target entity description: CFH is the National Rail station code for Chafford Hundred railway station in Essex, England.
  • A. FCH
    FCH is the common abbreviation and nickname for 1. FC Heidenheim, a German professional football club.
  • B. CFHS
    CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • C. HFC
    HFC is the common abbreviation for Hibernian Football Club, a professional football team based in Edinburgh, Scotland.
  • D. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • E. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85ddffdf88190a00e94ad5b8b91a5 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6048a05c88190968f7827c5dd5342 completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a6de0c8190aabda7ef7b7063a6 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61842b8848190b454cee480c69f7a completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.