Triple

T6210953
Position Surface form Disambiguated ID Type / Status
Subject River Don E138865 entity
Predicate passesNear P416 FINISHED
Object Kelham Island E455620 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: Kelham Island | Statement: [River Don, passesNear, Kelham Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelham Island
Context triple: [River Don, passesNear, Kelham Island]
  • A. Kelham Island chosen
    Kelham Island is a historic industrial district in Sheffield, England, known for its converted factories, museums, and vibrant food and nightlife scene.
  • B. Polbeth
    Polbeth is a small village in West Lothian, Scotland, historically associated with shale oil mining and situated near the town of West Calder.
  • C. Colindale
    Colindale is a suburban area in the London Borough of Barnet, known for its residential developments, transport links, and proximity to former aviation and military sites.
  • D. Kingston Hill
    Kingston Hill is a geographic elevation in Kingston, Rhode Island, known for overlooking the surrounding village and landscape.
  • E. Lankershim
    Lankershim is a surname most notably associated with Isaac Lankershim, a 19th-century landowner and developer influential in the early growth of the Los Angeles area.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062896f3881909f264bb45badc5d0 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f57821c8190bd7a5f6bf286ab09 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.