Triple

T17570880
Position Surface form Disambiguated ID Type / Status
Subject Lanark railway station E427932 entity
Predicate serves P98 FINISHED
Object Lanark 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: Lanark | Statement: [Lanark railway station, serves, Lanark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanark
Context triple: [Lanark railway station, serves, Lanark]
  • A. Lanark chosen
    Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
  • B. Lanark
    Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • C. Renfrew
    Renfrew is a historic town in west-central Scotland, often referred to as the “Cradle of the Royal Stewarts” due to its long association with the Stewart royal dynasty.
  • D. Renfrew
    Renfrew is a county in eastern Ontario, Canada, known for its rural communities, forests, and location along the Ottawa River.
  • E. Lanarkshire
    Lanarkshire is a historic county and lieutenancy area in west-central Scotland that includes major urban centers such as Glasgow and has long been an important industrial and cultural 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45930b0748190b55b95c523c47460 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.