Triple

T9985791
Position Surface form Disambiguated ID Type / Status
Subject Conwy E196563 entity
Predicate hasPostTown P2711 FINISHED
Object CONWY E294087 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: CONWY | Statement: [Conwy, hasPostTown, CONWY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CONWY
Context triple: [Conwy, hasPostTown, CONWY]
  • A. Conwy chosen
    Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
  • B. Tynewydd
    Tynewydd is a small village in the Rhondda Valley of South Wales, historically associated with coal mining communities near Treherbert.
  • C. Gwynedd
    Gwynedd is a county and preserved lieutenancy area in north-west Wales known for its rugged coastline, mountains including much of Snowdonia, and strong Welsh language and cultural heritage.
  • D. Caernarfonshire
    Caernarfonshire is a historic county in northwest Wales known for its rugged coastline, mountainous landscapes including parts of Snowdonia, and the medieval Caernarfon Castle.
  • E. Merionethshire
    Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6b5338481909e05d82ceb8fadf5 completed April 9, 2026, 12:45 a.m.
Created at: March 30, 2026, 8:49 p.m.