Triple

T11805079
Position Surface form Disambiguated ID Type / Status
Subject Bowood E280724 entity
Predicate hasPart P35 FINISHED
Object Bowood Lake E342051 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: Bowood Lake | Statement: [Bowood, hasPart, Bowood Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowood Lake
Context triple: [Bowood, hasPart, Bowood Lake]
  • A. Bowood Lake chosen
    Bowood Lake is an ornamental body of water within the landscaped grounds of Bowood House in Wiltshire, England, known for its picturesque setting and historic garden design.
  • B. Blenheim Lake
    Blenheim Lake is an ornamental lake in the grounds of Blenheim Palace in Oxfordshire, England, forming a central feature of its landscaped parkland.
  • C. Hallett Lake
    Hallett Lake is a small reservoir located near the town of Pawnee in north-central Oklahoma, used primarily for local recreation and water management.
  • D. Germiston Lake
    Germiston Lake is a popular recreational lake in Germiston, South Africa, known for water sports, picnicking, and outdoor leisure activities.
  • E. Jenkinson Lake
    Jenkinson Lake is a popular reservoir in El Dorado County, California, known for its camping, fishing, boating, and hiking opportunities in a forested Sierra Nevada setting.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b196bc8190a643f2b534497476 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:42 p.m.