Triple

T4930861
Position Surface form Disambiguated ID Type / Status
Subject Temple area, London E110690 entity
Predicate adjacentTo P224 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: [Temple area, London, adjacentTo, Strand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strand
Context triple: [Temple area, London, adjacentTo, 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c2cb288190b0a603992c08235c completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.