Triple

T10570950
Position Surface form Disambiguated ID Type / Status
Subject Corwen E249477 entity
Predicate postalTown P2711 FINISHED
Object CORWEN E249477 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: CORWEN | Statement: [Corwen, postalTown, CORWEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CORWEN
Context triple: [Corwen, postalTown, CORWEN]
  • A. CORWEN chosen
    CORWEN is a small market town in Denbighshire, North Wales, known for its scenic location in the Dee Valley and its historic association with Welsh culture and heritage.
  • B. Krewerd
    Krewerd is a small historic village in the province of Groningen in the Netherlands, known for its medieval terp (artificial dwelling mound) and Romanesque church.
  • C. Kowen
    Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
  • D. Corme
    Corme is a coastal village in Galicia, northwestern Spain, known for its fishing heritage and dramatic Atlantic scenery along the Costa da Morte.
  • E. Wreh
    Wreh is a surname most notably associated with Liberian footballer Christopher Wreh, who played as a striker for clubs including Arsenal and the Liberia national team.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274678148190b7a1afc099628357 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b55d0f88190bd6853603f67e88d completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.