Triple

T12146103
Position Surface form Disambiguated ID Type / Status
Subject Highbury & Islington station E289325 entity
Predicate railCode P18202 FINISHED
Object HHY
HHY is the National Rail station code for Highbury & Islington railway station in London, England.
 E965111 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: HHY | Statement: [Highbury & Islington station, railCode, HHY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHY
Context triple: [Highbury & Islington station, railCode, HHY]
  • A. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • B. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HYB
    HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
  • E. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • 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: HHY
Triple: [Highbury & Islington station, railCode, HHY]
Generated description
HHY is the National Rail station code for Highbury & Islington railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHY
Target entity description: HHY is the National Rail station code for Highbury & Islington railway station in London, England.
  • A. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • B. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HYB
    HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
  • E. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f696ec648190aa43655ac8a2b312 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.