Triple

T23541463
Position Surface form Disambiguated ID Type / Status
Subject Lord Lindores E577759 entity
Predicate historicalRegion P915 FINISHED
Object Scotland E14894 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: Scotland | Statement: [Lord Lindores, historicalRegion, Scotland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scotland
Context triple: [Lord Lindores, historicalRegion, 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. Schotzie
    Schotzie is the Forman family’s pet dog on the television sitcom "That '70s Show."
  • D. 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.
  • E. Escosse
    Escosse is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 completed April 29, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf4c6be08190ae3738240cf706ed completed May 19, 2026, 10:08 p.m.
Created at: April 17, 2026, 6:10 p.m.