Triple

T11627730
Position Surface form Disambiguated ID Type / Status
Subject Nazareth Chapel E276314 entity
Predicate locatedInCountry P40 FINISHED
Object Wales (inferred) E9984 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: Wales (inferred) | Statement: [Nazareth Chapel, locatedInCountry, Wales (inferred)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wales (inferred)
Context triple: [Nazareth Chapel, locatedInCountry, Wales (inferred)]
  • A. Wales
    Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • B. Wales chosen
    Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
  • C. Wales (parts)
    Wales (parts) refers to the regions of Wales that came under Norman control during the medieval expansion of Norman rule into the British Isles.
  • D. Wales region
    The Wales region is a historical area in western Britain that was once part of the Roman province of Britannia and later became the core territory of the modern country of Wales.
  • E. Morgannwg
    Morgannwg is the traditional Welsh name for the historic county of Glamorgan in south Wales, known for its rich medieval heritage and early industrial development.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87922b308190a16d026a75b1043e completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.