Triple

T20576761
Position Surface form Disambiguated ID Type / Status
Subject Haywards Heath railway station E505237 entity
Predicate stationCode P1289 FINISHED
Object HHE
HHE is the National Rail station code for Haywards Heath railway station in West Sussex, England.
 E1438404 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: HHE | Statement: [Haywards Heath railway station, stationCode, HHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHE
Context triple: [Haywards Heath railway station, stationCode, HHE]
  • A. HHD
    HHD is the National Rail station code for Holyhead railway station in Anglesey, Wales.
  • B. HHD
    HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
  • C. 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.
  • D. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • E. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • 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: HHE
Triple: [Haywards Heath railway station, stationCode, HHE]
Generated description
HHE is the National Rail station code for Haywards Heath railway station in West Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHE
Target entity description: HHE is the National Rail station code for Haywards Heath railway station in West Sussex, England.
  • A. HHD
    HHD is the National Rail station code for Holyhead railway station in Anglesey, Wales.
  • B. HHD
    HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
  • C. 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.
  • D. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • E. EHE
    EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90af3608190955d2c7950726178 completed April 20, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08ace8a1d881908a8b178308c7b202 completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ad96b2a081908d32e335c5265eec completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08ae19eca08190ada48b48105be62d completed May 16, 2026, 5:49 p.m.
Created at: April 16, 2026, 11:39 a.m.