Triple

T7005670
Position Surface form Disambiguated ID Type / Status
Subject Llynfi Valley E162446 entity
Predicate near P350 FINISHED
Object Afan Valley E156289 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: Afan Valley | Statement: [Llynfi Valley, near, Afan Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afan Valley
Context triple: [Llynfi Valley, near, Afan Valley]
  • A. Afan Valley chosen
    Afan Valley is a scenic former coal-mining valley in South Wales, now known for its forests, mountain biking trails, and outdoor recreation.
  • B. Prądnik Valley
    Prądnik Valley is a picturesque limestone gorge in southern Poland, renowned for its dramatic cliffs, caves, and castles within the Kraków-Częstochowa Upland.
  • C. Neuadd Valley
    Neuadd Valley is a scenic upland valley in the Brecon Beacons of South Wales, known for its reservoirs and surrounding mountain scenery.
  • D. Hodder Valley
    Hodder Valley is a scenic rural valley in Lancashire, England, known for its rolling countryside, traditional villages, and outdoor recreation centered around the River Hodder.
  • E. Limmat Valley
    Limmat Valley is a river valley in the Swiss canton of Zurich, shaped by the Limmat River and known for its mix of urban settlements, industry, and natural landscapes.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a3f5a088190bd0fa2080a8fa648 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.