Triple

T21399671
Position Surface form Disambiguated ID Type / Status
Subject Loch Lomond islands E527877 entity
Predicate hasPart P35 FINISHED
Object Torrinch 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: Torrinch | Statement: [Loch Lomond islands, hasPart, Torrinch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torrinch
Context triple: [Loch Lomond islands, hasPart, Torrinch]
  • A. Torrinch chosen
    Torrinch is a small, wooded island located in Scotland’s Loch Lomond, known for its natural beauty and wildlife.
  • B. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • C. Bardineto
    Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
  • D. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • E. Sarralbe
    Sarralbe is a small commune in northeastern France known for its location in the Moselle department near the German border.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b16d9f008190bbf6199ff6952cb3 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:14 p.m.