Triple

T431917
Position Surface form Disambiguated ID Type / Status
Subject Duke of Normandy E9730 entity
Predicate sovereignOver P8163 FINISHED
Object Sark (historically) E29748 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: Sark (historically) | Statement: [Duke of Normandy, sovereignOver, Sark (historically)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sark (historically)
Context triple: [Duke of Normandy, sovereignOver, Sark (historically)]
  • A. Sark chosen
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Skaugum
    Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
  • D. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • E. Markinch
    Markinch is a small historic town in Fife, Scotland, known for its ancient church and role as a local administrative and railway hub.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f01be4108190b4c13346afd95a03 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f6a359081909c27b9e382633aa8 completed March 1, 2026, 12:22 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.