Triple

T24701698
Position Surface form Disambiguated ID Type / Status
Subject Bogston E611762 entity
Predicate region 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 industrial centers such as Glasgow and Edinburgh.
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: [Bogston, region, 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: [Bogston, region, 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 industrial centers such as Glasgow and Edinburgh.

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_69e2c4d76d148190b58ad612467149a5 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fe0833881909bf1b55eb10ff969 completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1010068630819091ba3c7edfd78438 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136b70f4819096d05c3f3fed09c2 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10145c05c88190a29367197865506c completed May 22, 2026, 8:31 a.m.
Created at: April 18, 2026, 3:23 a.m.