Triple

T4523354
Position Surface form Disambiguated ID Type / Status
Subject Royal Courts of Justice E103317 entity
Predicate streetAddress P606 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: [Royal Courts of Justice, streetAddress, Strand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strand
Context triple: [Royal Courts of Justice, streetAddress, 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 municipality in Rogaland county, Norway, known for its scenic fjord landscapes and proximity to the famous Lysefjord.
  • C. Strandloper
    Strandloper is a historical novel by Alan Garner that reimagines the life of a Cheshire laborer transported to Australia, blending myth, landscape, and identity.
  • D. Tapestry
    Tapestry is Carole King’s landmark 1971 singer-songwriter album, widely acclaimed for its intimate songwriting and enduring influence on pop and soft rock music.
  • E. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:02 p.m.