Triple

T10160344
Position Surface form Disambiguated ID Type / Status
Subject Cwmdauddwr E233872 entity
Predicate hasNearbyTown P3883 FINISHED
Object Rhayader E42592 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: Rhayader | Statement: [Cwmdauddwr, hasNearbyTown, Rhayader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhayader
Context triple: [Cwmdauddwr, hasNearbyTown, Rhayader]
  • A. Rhayader chosen
    Rhayader is a small market town in Powys, mid Wales, known as a gateway to the Elan Valley reservoirs and surrounding Cambrian Mountains.
  • B. Rhynern
    Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • C. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • D. Ranon
    Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
  • E. Haradh
    Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7d465bc8190b419de253616b0fd completed April 8, 2026, 7:09 p.m.
Created at: March 30, 2026, 9:09 p.m.