Triple

T19345432
Position Surface form Disambiguated ID Type / Status
Subject Heron Quays DLR Station E483863 entity
Predicate hasStationCode P1289 FINISHED
Object HEQ
HEQ is the station code for Heron Quays, a Docklands Light Railway station serving the Canary Wharf area in London.
 E1370910 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: HEQ | Statement: [Heron Quays DLR Station, hasStationCode, HEQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HEQ
Context triple: [Heron Quays DLR Station, hasStationCode, HEQ]
  • A. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • B. HE
    HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
  • C. HQ
    HQ is the commonly used abbreviation for Hydro-Québec, the provincial government–owned electric utility serving Quebec, Canada.
  • D. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • E. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • 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: HEQ
Triple: [Heron Quays DLR Station, hasStationCode, HEQ]
Generated description
HEQ is the station code for Heron Quays, a Docklands Light Railway station serving the Canary Wharf area in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HEQ
Target entity description: HEQ is the station code for Heron Quays, a Docklands Light Railway station serving the Canary Wharf area in London.
  • A. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • B. HE
    HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
  • C. HQ
    HQ is the commonly used abbreviation for Hydro-Québec, the provincial government–owned electric utility serving Quebec, Canada.
  • D. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • E. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185a56b4819089336564959b84df completed April 20, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071bed1c608190a71094aa2645199d completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071cc1c76c8190b99ef2b319f6ab39 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071d787dd881908d86c5fe52ca2561 completed May 15, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:34 p.m.