Triple

T10695084
Position Surface form Disambiguated ID Type / Status
Subject Hampstead Heath railway station E252114 entity
Predicate hasStationCode P1289 FINISHED
Object HDH
HDH is the National Rail station code for Hampstead Heath railway station in London, England.
E880697 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: HDH | Statement: [Hampstead Heath railway station, hasStationCode, HDH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HDH
Context triple: [Hampstead Heath railway station, hasStationCode, HDH]
  • A. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • 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. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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: HDH
Triple: [Hampstead Heath railway station, hasStationCode, HDH]
Generated description
HDH is the National Rail station code for Hampstead Heath railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HDH
Target entity description: HDH is the National Rail station code for Hampstead Heath railway station in London, England.
  • A. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • 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. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998da1738819099a9090c3e8badc9 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:11 p.m.