Triple

T3968807
Position Surface form Disambiguated ID Type / Status
Subject City and County of Swansea E92278 entity
Predicate contains P35 FINISHED
Object Fforestfach
Fforestfach is a suburban district and commercial area within the City and County of Swansea in South Wales.
E473586 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: Fforestfach | Statement: [City and County of Swansea, contains, Fforestfach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fforestfach
Context triple: [City and County of Swansea, contains, Fforestfach]
  • A. Nant Gwynant
    Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
  • B. Blaengwynfi
    Blaengwynfi is a small former coal-mining village in South Wales, situated in the Afan Valley and now known for its surrounding forestry and outdoor recreation.
  • C. Llwynywermod
    Llwynywermod is a rural Welsh estate that serves as the official residence of the Duke of Cornwall in Wales.
  • D. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • E. Tal-y-Cafn
    Tal-y-Cafn is a small village in Conwy County Borough, Wales, situated in the Conwy Valley and known for its rural setting and former railway station on the Conwy Valley Line.
  • 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: Fforestfach
Triple: [City and County of Swansea, contains, Fforestfach]
Generated description
Fforestfach is a suburban district and commercial area within the City and County of Swansea in South Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fforestfach
Target entity description: Fforestfach is a suburban district and commercial area within the City and County of Swansea in South Wales.
  • A. Nant Gwynant
    Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
  • B. Blaengwynfi
    Blaengwynfi is a small former coal-mining village in South Wales, situated in the Afan Valley and now known for its surrounding forestry and outdoor recreation.
  • C. Llwynywermod
    Llwynywermod is a rural Welsh estate that serves as the official residence of the Duke of Cornwall in Wales.
  • D. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • E. Tal-y-Cafn
    Tal-y-Cafn is a small village in Conwy County Borough, Wales, situated in the Conwy Valley and known for its rural setting and former railway station on the Conwy Valley Line.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c69987881908dc2b6286fec73c2 completed March 21, 2026, 8:52 a.m.
NEDg Description generation batch_69be5d1049fc8190a8c33cf931d5fc77 completed March 21, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69be5e09bba88190a4e403ed651662e7 completed March 21, 2026, 8:59 a.m.
Created at: March 9, 2026, 3:32 p.m.