Triple

T4287787
Position Surface form Disambiguated ID Type / Status
Subject Hamilton West railway station E97310 entity
Predicate hasStationCode P1289 FINISHED
Object HNW
HNW is the National Rail station code for Hamilton West railway station in South Lanarkshire, Scotland.
 E428069 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: HNW | Statement: [Hamilton West railway station, hasStationCode, HNW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HNW
Context triple: [Hamilton West railway station, hasStationCode, HNW]
  • A. HNM
    HNM is the IATA airport code for Hana Airport, a small regional airport serving the town of Hana on the island of Maui in Hawaii.
  • B. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • C. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • D. Hoch
    Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
  • E. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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: HNW
Triple: [Hamilton West railway station, hasStationCode, HNW]
Generated description
HNW is the National Rail station code for Hamilton West railway station in South Lanarkshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HNW
Target entity description: HNW is the National Rail station code for Hamilton West railway station in South Lanarkshire, Scotland.
  • A. HNM
    HNM is the IATA airport code for Hana Airport, a small regional airport serving the town of Hana on the island of Maui in Hawaii.
  • B. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • C. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • D. Hoch
    Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
  • E. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505ef9fc81909c73e64bf77052ce completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72bec388190b03048507e2e6858 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7ab41fc81909813233bd729e989 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c81d6e188190a1f0f21a990943d0 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:08 p.m.