Triple

T15993587
Position Surface form Disambiguated ID Type / Status
Subject Tadlow E387901 entity
Predicate locatedNear P294 FINISHED
Object Guilden Morden E1149661 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: Guilden Morden | Statement: [Tadlow, locatedNear, Guilden Morden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilden Morden
Context triple: [Tadlow, locatedNear, Guilden Morden]
  • A. Artegall
    Artegall is a knight of justice in Edmund Spenser’s epic poem *The Faerie Queene*, renowned for his unwavering commitment to law, equity, and righteous judgment.
  • B. Starigard
    Starigard was the principal stronghold and political center of the medieval West Slavic Obotrite tribal federation in what is now northern Germany.
  • C. Montchavin
    Montchavin is a traditional alpine village and ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
  • D. Mordon chosen
    Mordon is a small village and civil parish in County Durham, England, situated in the northeast of the country.
  • E. Eglamour
    Eglamour is a minor character in Shakespeare’s play "The Two Gentlemen of Verona," known for helping Silvia attempt to escape from her father’s control.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785347081908831b4cbc9a2dd45 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d5d72081908aa235c5ad9b5707 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.