Triple

T5685548
Position Surface form Disambiguated ID Type / Status
Subject Dollar Glen E125304 entity
Predicate hasWatercourse P165 FINISHED
Object Burn of Sorrow E470493 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: Burn of Sorrow | Statement: [Dollar Glen, hasWatercourse, Burn of Sorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burn of Sorrow
Context triple: [Dollar Glen, hasWatercourse, Burn of Sorrow]
  • A. Burn of Sorrow chosen
    Burn of Sorrow is a small Scottish stream flowing through the dramatic gorge below Castle Campbell in Clackmannanshire.
  • B. Mask of Sorrow
    Mask of Sorrow is a monumental sculpture in Magadan, Russia, commemorating the victims of Stalinist political repression and the Gulag labor camps.
  • C. Wraithborne
    Wraithborne is a fantasy-themed action role-playing game for mobile platforms featuring fast-paced combat and spellcasting.
  • D. Fiends Fell
    Fiends Fell is an older name for Cross Fell, the highest and often mist-shrouded peak of the Pennines in northern England.
  • E. Cloister Wraiths
    Cloister Wraiths are spectral, malevolent entities haunting secluded or sacred places, often depicted as ghostly guardians or tormentors bound to cursed cloisters.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023ba52b48190b94f8a3ecff61eb4 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3d2b348190b44a067f485bca70 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.