Triple

T6422037
Position Surface form Disambiguated ID Type / Status
Subject Hastings railway station E127965 entity
Predicate hasStationCode P1289 FINISHED
Object HGS
HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
 E592007 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: HGS | Statement: [Hastings railway station, hasStationCode, HGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HGS
Context triple: [Hastings railway station, hasStationCode, HGS]
  • A. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • B. HESG
    HESG is the ICAO airport code assigned to Sohag International Airport in Egypt.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • E. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • 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: HGS
Triple: [Hastings railway station, hasStationCode, HGS]
Generated description
HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HGS
Target entity description: HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
  • A. HGA
    HGA is a multidisciplinary architecture and engineering firm known for designing innovative, human-centered buildings and environments across sectors such as healthcare, education, and the arts.
  • B. HESG
    HESG is the ICAO airport code assigned to Sohag International Airport in Egypt.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • E. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06903f67c8190a1e5babeede4e183 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d8f7548190a8e0433df56b77f3 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c64142633c819094c3bbdabd8f7951 completed March 27, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69c641c3d3188190bcf6bede4c90dc9d completed March 27, 2026, 8:37 a.m.
Created at: March 22, 2026, 4:43 p.m.