Triple

T351962
Position Surface form Disambiguated ID Type / Status
Subject Operation Sea Lion E7461 entity
Predicate plannedLandingArea P8974 FINISHED
Object Dorset E70212 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: Dorset | Statement: [Operation Sea Lion, plannedLandingArea, Dorset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorset
Context triple: [Operation Sea Lion, plannedLandingArea, Dorset]
  • A. Dorset chosen
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • B. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • C. Hampshire
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • D. Gloucestershire
    Gloucestershire is a historic county in South West England known for its rural Cotswolds landscapes, cathedral city of Gloucester, and rich medieval heritage.
  • E. Herefordshire
    Herefordshire is a predominantly rural county in the West Midlands of England, known for its agriculture, rolling countryside, and the cathedral city of Hereford.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee043fac8190af72291c04761687 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56c475ce88190bf16e5ee76f1d3b5 completed March 2, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.