Triple

T3479499
Position Surface form Disambiguated ID Type / Status
Subject Rosslyn Chapel E73455 entity
Predicate locatedIn P40 FINISHED
Object Roslin E158183 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: Roslin | Statement: [Rosslyn Chapel, locatedIn, Roslin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roslin
Context triple: [Rosslyn Chapel, locatedIn, Roslin]
  • A. Roslin chosen
    Roslin is a historic village in Midlothian, Scotland, best known for the nearby Rosslyn Chapel and its associations with Scottish history and legend.
  • B. Tizard
    Tizard is an English surname most notably associated with Sir Henry Tizard, a British chemist and key scientific adviser in the development of radar before and during World War II.
  • C. Dolly the sheep
    Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
  • D. Nutfield
    Nutfield is a village and civil parish in Surrey, England, known for its rural character and proximity to the town of Redhill.
  • E. Dolly
    Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.