Triple

T7054342
Position Surface form Disambiguated ID Type / Status
Subject Culture and Convention Centre Lucerne E164047 entity
Predicate locatedIn P40 FINISHED
Object Lucerne E31684 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: Lucerne | Statement: [Culture and Convention Centre Lucerne, locatedIn, Lucerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucerne
Context triple: [Culture and Convention Centre Lucerne, locatedIn, Lucerne]
  • A. Lucerne chosen
    Lucerne is a picturesque Swiss city known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and proximity to the Swiss Alps.
  • B. Parsley Hay
    Parsley Hay is a small hamlet and popular cycling and walking hub in the Peak District National Park, known for its trailhead facilities on former railway routes.
  • C. Caltha
    Caltha is a small genus of marsh-dwelling flowering plants commonly known as marsh marigolds, found in temperate and cold regions of the Northern Hemisphere.
  • D. Alsike
    Alsike is a small locality in Uppsala County, Sweden, known as a growing residential community within Knivsta Municipality.
  • E. Parugu
    Parugu is a 2008 Telugu-language romantic drama film starring Allu Arjun, known for its emotional storyline and popular music.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e265ea348190a9bd3807c0d605d8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810a6b5348190bdf98a2fd98c9dc5 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:38 p.m.