Triple

T1730899
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sedgemoor E37807 entity
Predicate location P40 FINISHED
Object Somerset E59760 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: Somerset | Statement: [Battle of Sedgemoor, location, Somerset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset
Context triple: [Battle of Sedgemoor, location, Somerset]
  • A. Somerset chosen
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • B. Somerset
    Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
  • C. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • D. 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.
  • E. Shropshire
    Shropshire is a largely rural county in the West Midlands of England, known for its historic market towns, rolling countryside, and parts of the Shropshire Hills Area of Outstanding Natural Beauty.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63804cd48190aef5e0f231600e58 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe85a92fc8190b9218c499fb08bfe completed March 10, 2026, 9:46 a.m.
Created at: March 4, 2026, 7:30 p.m.