Triple

T23353971
Position Surface form Disambiguated ID Type / Status
Subject Lamorna E592993 entity
Predicate locatedNear P294 FINISHED
Object Mousehole NE NERFINISHED

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: Mousehole | Statement: [Lamorna, locatedNear, Mousehole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mousehole
Context triple: [Lamorna, locatedNear, Mousehole]
  • A. Mousehole chosen
    Mousehole is a small, picturesque fishing village and harbour on the coast of Cornwall in southwest England, known for its narrow streets, traditional cottages, and scenic seaside views.
  • B. Galtymore
    Galtymore is a prominent mountain in the Galtee range on the border of Counties Limerick and Tipperary in Ireland, known for its challenging hikes and scenic views.
  • C. Mousehole Harbour
    Mousehole Harbour is a picturesque traditional fishing harbour and tourist spot in the village of Mousehole on the south coast of Cornwall, England.
  • D. Carnon
    Carnon is a seaside resort town in southern France, known for its marina and Mediterranean beaches near Montpellier.
  • E. Lostwithiel
    Lostwithiel is a historic town and former parliamentary borough in Cornwall, England, known for its medieval architecture and past political significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a15d0a48190862179254c09c6d1 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.