Triple

T9229354
Position Surface form Disambiguated ID Type / Status
Subject Cardiff South and Penarth E221774 entity
Predicate hasCityArea P11388 FINISHED
Object Tremorfa
Tremorfa is a residential and industrial district in the eastern part of Cardiff, Wales.
 E785153 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: Tremorfa | Statement: [Cardiff South and Penarth, hasCityArea, Tremorfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tremorfa
Context triple: [Cardiff South and Penarth, hasCityArea, Tremorfa]
  • A. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • B. Treron
    Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
  • C. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • D. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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: Tremorfa
Triple: [Cardiff South and Penarth, hasCityArea, Tremorfa]
Generated description
Tremorfa is a residential and industrial district in the eastern part of Cardiff, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tremorfa
Target entity description: Tremorfa is a residential and industrial district in the eastern part of Cardiff, Wales.
  • A. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • B. Treron
    Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
  • C. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • D. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa1c5b4819081dac6713053a8ae completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0666364608190b104425819ccedf1 completed April 4, 2026, 1:16 a.m.
NEDg Description generation batch_69d06772c0508190883b22974ec09155 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d067cab3a4819086a464f36a8adb3a completed April 4, 2026, 1:22 a.m.
Created at: March 30, 2026, 7:29 p.m.