Triple

T2948991
Position Surface form Disambiguated ID Type / Status
Subject Southern Scotland E79571 entity
Predicate hasSettlement P1068 FINISHED
Object Langholm E304724 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: Langholm | Statement: [Southern Scotland, hasSettlement, Langholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langholm
Context triple: [Southern Scotland, hasSettlement, Langholm]
  • A. Langholm chosen
    Langholm is a small town in the Scottish Borders known historically for its textile industry and scenic position in the valley of the River Esk.
  • B. Kinglassie
    Kinglassie is a small village in Fife, Scotland, known historically for its coal mining heritage and rural character.
  • C. Moodiesburn
    Moodiesburn is a suburban village in North Lanarkshire, Scotland, situated to the northeast of Glasgow and largely serving as a commuter community.
  • D. Longniddry
    Longniddry is a coastal village in Scotland known for its sandy beach, golf course, and role as a commuter settlement for nearby Edinburgh.
  • E. Ilkeston
    Ilkeston is a market town in the East Midlands of England, historically known for its coal mining and textile industries.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0869732d08190bdb6f6c76411ade1 completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:57 p.m.