Triple

T15714679
Position Surface form Disambiguated ID Type / Status
Subject City and County of Cardiff E380930 entity
Predicate contains P35 FINISHED
Object Llanishen
Llanishen is a suburban district in the north of Cardiff, Wales, known for its residential areas, retail facilities, and proximity to green spaces.
E1174055 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: Llanishen | Statement: [City and County of Cardiff, contains, Llanishen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanishen
Context triple: [City and County of Cardiff, contains, Llanishen]
  • A. Llantrisant
    Llantrisant is a historic Welsh town known for its medieval heritage and hilltop setting in South Wales.
  • B. Bridgend
    Bridgend is a small village on the Scottish island of Islay, known for its rural setting and role as a local hub near the island’s central crossroads.
  • C. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • D. Radyr
    Radyr is a suburban village and community on the outskirts of Cardiff, Wales, known for its residential character and proximity to the River Taff.
  • E. Salop
    Salop is the traditional and historic alternative name for the English county of Shropshire.
  • 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: Llanishen
Triple: [City and County of Cardiff, contains, Llanishen]
Generated description
Llanishen is a suburban district in the north of Cardiff, Wales, known for its residential areas, retail facilities, and proximity to green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Llanishen
Target entity description: Llanishen is a suburban district in the north of Cardiff, Wales, known for its residential areas, retail facilities, and proximity to green spaces.
  • A. Llantrisant
    Llantrisant is a historic Welsh town known for its medieval heritage and hilltop setting in South Wales.
  • B. Bridgend
    Bridgend is a small village on the Scottish island of Islay, known for its rural setting and role as a local hub near the island’s central crossroads.
  • C. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • D. Radyr
    Radyr is a suburban village and community on the outskirts of Cardiff, Wales, known for its residential character and proximity to the River Taff.
  • E. Salop
    Salop is the traditional and historic alternative name for the English county of Shropshire.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f22fc88190820ecb171041136d completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83ff8c7481909fbc502143c1852f completed May 9, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:45 a.m.