Triple

T1752433
Position Surface form Disambiguated ID Type / Status
Subject Conway E38473 entity
Predicate derivedFrom P909 FINISHED
Object Conwy (Welsh place name)
Conwy is a historic Welsh town and estuary on the north coast of Wales, renowned for its medieval castle and well-preserved town walls.
E196563 NE FINISHED

How this triple was built (4 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 (Welsh place name) | Statement: [Conway, derivedFrom, Conwy (Welsh place name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conwy (Welsh place name)
Context triple: [Conway, derivedFrom, Conwy (Welsh place name)]
  • A. Caernarfon, Gwynedd
    Caernarfon, Gwynedd is a historic town in northwest Wales famed for its medieval castle and strong royal connections.
  • B. Bryn and Cwmavon
    Bryn and Cwmavon is an electoral ward in Neath Port Talbot, Wales, encompassing the communities of Bryn and Cwmavon.
  • C. Dyffryn
    Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
  • D. Clwyd
    Clwyd was a former county in north-east Wales, created in 1974 and later abolished in 1996, that encompassed areas including parts of historic Denbighshire and Flintshire.
  • E. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Conwy (Welsh place name)
Triple: [Conway, derivedFrom, Conwy (Welsh place name)]
Generated description
Conwy is a historic Welsh town and estuary on the north coast of Wales, renowned for its medieval castle and well-preserved town walls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conwy (Welsh place name)
Target entity description: Conwy is a historic Welsh town and estuary on the north coast of Wales, renowned for its medieval castle and well-preserved town walls.
  • A. Caernarfon, Gwynedd
    Caernarfon, Gwynedd is a historic town in northwest Wales famed for its medieval castle and strong royal connections.
  • B. Bryn and Cwmavon
    Bryn and Cwmavon is an electoral ward in Neath Port Talbot, Wales, encompassing the communities of Bryn and Cwmavon.
  • C. Dyffryn
    Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
  • D. Clwyd
    Clwyd was a former county in north-east Wales, created in 1974 and later abolished in 1996, that encompassed areas including parts of historic Denbighshire and Flintshire.
  • E. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • F. None of above. chosen

Provenance (5 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e625c48190a0fbda31010bdc5f completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1e13d408190b393c00c331125a2 completed March 8, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69ada292a34c8190a566c2909342ab27 completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:31 p.m.