Triple

T3617395
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Airport E76635 entity
Predicate locatedIn P40 FINISHED
Object Rhoose E110565 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: Rhoose | Statement: [Cardiff Airport, locatedIn, Rhoose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhoose
Context triple: [Cardiff Airport, locatedIn, Rhoose]
  • A. Rhoose chosen
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • B. Bracken
    Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
  • C. Myrtilus
    Myrtilus is a figure in Greek mythology, the charioteer of King Oenomaus whose betrayal and subsequent curse play a key role in the tragic saga of Pelops and the House of Atreus.
  • D. Frangula
    Frangula is a genus of flowering shrubs and small trees, commonly known as buckthorns, found in temperate regions and valued for their ecological and medicinal properties.
  • E. Rosa Gryphus
    Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27dd030819083d34fee0c06612a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.