Triple

T27539716
Position Surface form Disambiguated ID Type / Status
Subject Drem, East Lothian E695201 entity
Predicate locatedIn P40 FINISHED
Object Lowlands of Scotland
The Lowlands of Scotland are a historically and culturally significant region in southern and eastern Scotland characterized by relatively gentle terrain, higher population density, and major urban and agricultural areas.
E1388 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: Lowlands of Scotland | Statement: [Drem, East Lothian, locatedIn, Lowlands of Scotland]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lowlands of Scotland
Triple: [Drem, East Lothian, locatedIn, Lowlands of Scotland]
Generated description
The Lowlands of Scotland are a historically and culturally significant region in southern and eastern Scotland characterized by relatively gentle terrain, higher population density, and major urban and agricultural areas.

Provenance (5 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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f5d154881909d789be98cdefe7d completed May 2, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5bf1f2881909e749c3c07fee7df completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c62aaa608190b9dfd46976f72690 completed May 24, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6c3a8fc819083942c89ff00352b completed May 24, 2026, 9:37 a.m.
Created at: April 27, 2026, 1:30 p.m.