Triple

T10155186
Position Surface form Disambiguated ID Type / Status
Subject Falmouth University E232757 entity
Predicate city P40 FINISHED
Object Penryn E115353 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: Penryn | Statement: [Falmouth University, city, Penryn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penryn
Context triple: [Falmouth University, city, Penryn]
  • A. Penryn chosen
    Penryn is a historic town and former parliamentary borough in Cornwall, England.
  • B. Haverfordwest
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • C. Helston
    Helston is a small historic market town in Cornwall, England, known for its traditional Flora Day festival and proximity to the Lizard Peninsula.
  • D. Abersoch
    Abersoch is a popular seaside village and holiday resort in Gwynedd, Wales, known for its sandy beaches and water sports on the Llŷn Peninsula.
  • E. Tregony
    Tregony was a former parliamentary borough in Cornwall, England, historically known as a "rotten borough" that elected members to the UK Parliament before the 19th-century electoral reforms.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec38f594819088a7eb73fc25feff completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d65296ee98819096de701e3b945001 completed April 8, 2026, 1:05 p.m.
Created at: March 30, 2026, 9:08 p.m.