Triple

T4723808
Position Surface form Disambiguated ID Type / Status
Subject Farnham railway station E104830 entity
Predicate hasStationCode P1289 FINISHED
Object FNH
FNH is the National Rail station code for Farnham railway station in Surrey, England.
 E464724 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: FNH | Statement: [Farnham railway station, hasStationCode, FNH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FNH
Context triple: [Farnham railway station, hasStationCode, FNH]
  • A. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • D. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • E. SNH
    SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
  • 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: FNH
Triple: [Farnham railway station, hasStationCode, FNH]
Generated description
FNH is the National Rail station code for Farnham railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FNH
Target entity description: FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • A. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • D. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • E. SNH
    SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6444412c81908a7f6f17978df2d2 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10986d688190ad82e7f959c50434 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1430ef748190b452c62aa8adfdd1 completed March 21, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69be14bb589481908d984af9feb60e79 completed March 21, 2026, 3:47 a.m.
Created at: March 20, 2026, 1:18 p.m.