Triple

T11341303
Position Surface form Disambiguated ID Type / Status
Subject Llyn Hywel E268601 entity
Predicate near P350 FINISHED
Object Rhinog Fach E245124 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: Rhinog Fach | Statement: [Llyn Hywel, near, Rhinog Fach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhinog Fach
Context triple: [Llyn Hywel, near, Rhinog Fach]
  • A. Rhinog Fach chosen
    Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
  • B. Rhinog Fawr
    Rhinog Fawr is a rugged, rocky mountain in Snowdonia, Wales, known for its challenging terrain and prominent summit within the Rhinogydd range.
  • C. Rhu
    Rhu is a coastal village in Argyll and Bute, Scotland, situated on the shores of Gare Loch and known for its marina and scenic waterfront.
  • D. Blorenge
    Blorenge is a prominent hill in Monmouthshire, Wales, known for its sweeping views over the Usk Valley and the nearby town of Abergavenny.
  • E. Glaslyn
    Glaslyn is a small glacial lake nestled high on the eastern slopes of Mount Snowdon in Snowdonia, Wales, known for its striking blue-green waters and dramatic mountain scenery.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5434f04388190813e8beb1b5af55a completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.