Triple

T5598162
Position Surface form Disambiguated ID Type / Status
Subject Haslemere railway station E147047 entity
Predicate stationCode P1289 FINISHED
Object HSL
HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
E528830 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: HSL | Statement: [Haslemere railway station, stationCode, HSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSL
Context triple: [Haslemere railway station, stationCode, HSL]
  • A. HSL
    HSL is the public transport authority responsible for planning and organizing bus, tram, metro, commuter rail, and ferry services in the Helsinki metropolitan area of Finland.
  • B. HSB
    HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
  • C. HSB
    HSB is a historic narrow-gauge railway network in Germany’s Harz mountains, popular for its steam-powered tourist trains and scenic routes.
  • D. HSB
    HSB is the National Rail station code for Helsby railway station in Cheshire, England.
  • E. HSL 4
    HSL 4 is a Belgian high-speed railway line that connects Antwerp to the Dutch border as part of the international high-speed rail corridor between Brussels and Amsterdam.
  • 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: HSL
Triple: [Haslemere railway station, stationCode, HSL]
Generated description
HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HSL
Target entity description: HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
  • A. HSL
    HSL is the public transport authority responsible for planning and organizing bus, tram, metro, commuter rail, and ferry services in the Helsinki metropolitan area of Finland.
  • B. HSB
    HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
  • C. HSB
    HSB is a historic narrow-gauge railway network in Germany’s Harz mountains, popular for its steam-powered tourist trains and scenic routes.
  • D. HSB
    HSB is the National Rail station code for Helsby railway station in Cheshire, England.
  • E. HSL 4
    HSL 4 is a Belgian high-speed railway line that connects Antwerp to the Dutch border as part of the international high-speed rail corridor between Brussels and Amsterdam.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.