Triple

T15402957
Position Surface form Disambiguated ID Type / Status
Subject Biggar E368369 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Lanark E170299 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: Lanark | Statement: [Biggar, hasNearbySettlement, Lanark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanark
Context triple: [Biggar, hasNearbySettlement, Lanark]
  • A. Lanark
    Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • B. Lanark chosen
    Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
  • 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 (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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.