Triple

T19742255
Position Surface form Disambiguated ID Type / Status
Subject Robert de Brus V E474154 entity
Predicate realm P12844 FINISHED
Object Scotland NE NERFINISHED

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: Scotland | Statement: [Robert de Brus V, realm, Scotland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scotland
Context triple: [Robert de Brus V, realm, Scotland]
  • A. Scotland chosen
    Scotland is a country in the northern part of the United Kingdom, known for its distinct cultural heritage, historic castles, rugged landscapes, and major cities such as Edinburgh and Glasgow.
  • B. Scotland
    Scotland is a small town located in Telfair County in the U.S. state of Georgia.
  • C. Mainland Scotland
    Mainland Scotland is the northern part of Great Britain, encompassing Scotland’s largest cities, diverse landscapes from Highlands to Lowlands, and serving as the country’s principal economic and cultural heartland.
  • D. Escosse
    Escosse is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
  • E. Schokland
    Schokland is a former island in the Dutch Zuiderzee, now a UNESCO World Heritage Site known for its archaeological remains and history of land reclamation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.