Triple

T4925991
Position Surface form Disambiguated ID Type / Status
Subject CF postcode area E110575 entity
Predicate hasPostTown P2711 FINISHED
Object CARDIFF E12034 NE FINISHED

How this triple was built (2 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: CARDIFF | Statement: [CF postcode area, hasPostTown, CARDIFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CARDIFF
Context triple: [CF postcode area, hasPostTown, CARDIFF]
  • A. Cardiff chosen
    Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
  • B. Swansea
    Swansea is a coastal city in South Wales known for its maritime heritage, industrial history, and role as a target during World War II air raids.
  • C. Swansea
    Swansea is a coastal town in Bristol County, Massachusetts, known for its suburban character and proximity to both Providence and Fall River.
  • D. Haverfordwest
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • E. Cardiff Capital Region
    Cardiff Capital Region is an economic and administrative area in southeast Wales centered on Cardiff, encompassing the city and its surrounding valleys to support regional development and transport coordination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7033c430819088e62f14979aa83c completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c2cb288190b0a603992c08235c completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.