Triple

T15342512
Position Surface form Disambiguated ID Type / Status
Subject Muir of Dinnet National Nature Reserve E366831 entity
Predicate contains P35 FINISHED
Object Vat Burn E1150964 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: Vat Burn | Statement: [Muir of Dinnet National Nature Reserve, contains, Vat Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vat Burn
Context triple: [Muir of Dinnet National Nature Reserve, contains, Vat Burn]
  • A. Burn O’Vat chosen
    Burn O’Vat is a dramatic granite pothole and natural rock cauldron formed by glacial meltwater, now a popular scenic attraction in Aberdeenshire, Scotland.
  • B. Scorch
    Scorch is the fiery dragon mascot of the WNBA’s Phoenix Mercury, known for energizing fans at the team’s games.
  • C. Scorch
    Scorch is a loyal and formidable minion who serves the powerful villain known as the Sorceress.
  • D. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • E. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b41f130819082ea69ea535468ce completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.