Triple

T6475253
Position Surface form Disambiguated ID Type / Status
Subject Derby–Matlock line E146054 entity
Predicate serves P98 FINISHED
Object Whatstandwell E453039 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: Whatstandwell | Statement: [Derby–Matlock line, serves, Whatstandwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whatstandwell
Context triple: [Derby–Matlock line, serves, Whatstandwell]
  • A. Whatstandwell chosen
    Whatstandwell is a small village in Derbyshire, England, situated in the Derwent Valley and known for its riverside setting and railway station on the Derwent Valley Line.
  • B. Pro Stand
    Pro Stand is Apple's high-end, height- and tilt-adjustable stand designed specifically to support and position the Pro Display XDR.
  • C. Still Standing
    Still Standing is an American sitcom that aired in the early 2000s, focusing on a working-class Chicago family navigating everyday life with humor and heart.
  • D. On These I Stand
    On These I Stand is a posthumous collection of poems by Harlem Renaissance poet Countee Cullen that showcases his lyrical style, racial themes, and classical influences.
  • E. The WELL
    The WELL is a major fitness, recreation, and wellness center serving students and the campus community at California State University, Sacramento.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a341360819082f2b5496a1a68b0 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a595b881909e5d3cb781ad5ad4 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.