Triple

T12159295
Position Surface form Disambiguated ID Type / Status
Subject Villiers Street E289661 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Strand E212177 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: Strand | Statement: [Villiers Street, hasNearbyLandmark, Strand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strand
Context triple: [Villiers Street, hasNearbyLandmark, Strand]
  • A. Strand chosen
    Strand is a major thoroughfare in central London known for its historic theatres, hotels, and proximity to key landmarks such as Trafalgar Square and the River Thames.
  • B. Strand
    Strand is a surname of Scandinavian and German origin commonly borne by individuals and families in various countries.
  • C. Strand
    Strand is a municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
  • D. Strandbar Herrmann
    Strandbar Herrmann is a popular urban beach bar in Vienna known for its sandy riverside setting, deck chairs, and relaxed atmosphere along the Danube Canal.
  • E. Stranorlar
    Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.