Triple

T8824902
Position Surface form Disambiguated ID Type / Status
Subject SG postcode area E209989 entity
Predicate hasPostTown P2711 FINISHED
Object Sandy E330569 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: Sandy | Statement: [SG postcode area, hasPostTown, Sandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandy
Context triple: [SG postcode area, hasPostTown, Sandy]
  • A. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • B. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • C. Sandy
    Sandy is a suburban city in the Salt Lake City metropolitan area of Utah, known for its residential communities and proximity to outdoor recreation in the nearby Wasatch Mountains.
  • D. Sandy chosen
    Sandy is a small market town in Bedfordshire, England, known historically for its market gardening and proximity to the RSPB headquarters.
  • E. Sandy
    Sandy is a central character in the story featuring Annie, often portrayed as her loyal and beloved dog companion.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf894902588190adb60140c64561f6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:46 p.m.