Triple

T10277562
Position Surface form Disambiguated ID Type / Status
Subject Harling Road E241007 entity
Predicate hasStationCode P1289 FINISHED
Object HRD
HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
 E851996 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: HRD | Statement: [Harling Road, hasStationCode, HRD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HRD
Context triple: [Harling Road, hasStationCode, HRD]
  • A. HRMD
    HRMD is the abbreviated name commonly used for a Human Resources Management Department within an organization.
  • B. HRM
    HRM is a common abbreviation for the Halifax Regional Municipality, the local government area encompassing the city of Halifax and surrounding communities in Nova Scotia, Canada.
  • C. HRM
    HRM is the acronym commonly used for the Croatian Navy, the maritime branch of Croatia’s armed forces.
  • D. HRP
    HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
  • E. HR
    HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
  • 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: HRD
Triple: [Harling Road, hasStationCode, HRD]
Generated description
HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HRD
Target entity description: HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
  • A. HRMD
    HRMD is the abbreviated name commonly used for a Human Resources Management Department within an organization.
  • B. HRM
    HRM is the acronym commonly used for the Croatian Navy, the maritime branch of Croatia’s armed forces.
  • C. HRM
    HRM is a common abbreviation for the Halifax Regional Municipality, the local government area encompassing the city of Halifax and surrounding communities in Nova Scotia, Canada.
  • D. HRP
    HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
  • E. HR
    HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29f0cf08190a2c5e7523d5c731e completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82188588190998e06cad1e15e68 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcad625881909304201c1ebb3bcb completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd84cd708190816d94417294b52a completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:37 a.m.