Triple

T14127792
Position Surface form Disambiguated ID Type / Status
Subject Herne Hill railway station E340079 entity
Predicate railCode P18202 FINISHED
Object HNH
HNH is the National Rail station code for Herne Hill railway station in south London, England.
 E1081395 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: HNH | Statement: [Herne Hill railway station, railCode, HNH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HNH
Context triple: [Herne Hill railway station, railCode, HNH]
  • A. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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 vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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: HNH
Triple: [Herne Hill railway station, railCode, HNH]
Generated description
HNH is the National Rail station code for Herne Hill railway station in south London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HNH
Target entity description: HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • A. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • B. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce094bf3081909f7c0097dcb63398 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce14ff8e48190b3b663d130d18418 completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:22 p.m.