Triple

T17697609
Position Surface form Disambiguated ID Type / Status
Subject Lucia Ashton E441211 entity
Predicate settingPlace P1957 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: [Lucia Ashton, settingPlace, Scotland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scotland
Context triple: [Lucia Ashton, settingPlace, 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. Highland, Scotland
    Highland, Scotland is a sparsely populated council area in the Scottish Highlands known for its dramatic landscapes, including mountains, lochs, and rugged coastline, and for encompassing much of the traditional Highlands region.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.