Triple

T10271153
Position Surface form Disambiguated ID Type / Status
Subject Harlech railway station E240836 entity
Predicate hasStationCode P1289 FINISHED
Object HRL
HRL is the National Rail station code for Harlech railway station in Gwynedd, Wales.
 E853198 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: HRL | Statement: [Harlech railway station, hasStationCode, HRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HRL
Context triple: [Harlech railway station, hasStationCode, HRL]
  • A. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • B. HRLT
    HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
  • C. HRLA
    HRLA is a governmental body responsible for overseeing health-related regulation, licensing, and compliance activities.
  • D. HILR
    HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
  • E. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • 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: HRL
Triple: [Harlech railway station, hasStationCode, HRL]
Generated description
HRL is the National Rail station code for Harlech railway station in Gwynedd, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HRL
Target entity description: HRL is the National Rail station code for Harlech railway station in Gwynedd, Wales.
  • A. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • B. HRLT
    HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
  • C. HRLA
    HRLA is a governmental body responsible for overseeing health-related regulation, licensing, and compliance activities.
  • D. HILR
    HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
  • E. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • 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_69d4d27235ec819086152771206453f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f813c62c8190ac3bf19eff9d36e2 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcaca55c81908a48ac2a0ce24b85 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd772bc08190bf270f5fc767fb29 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:35 a.m.