Triple

T1426335
Position Surface form Disambiguated ID Type / Status
Subject Stirlingshire E30339 entity
Predicate hasMajorSettlement P316 FINISHED
Object Balfron
Balfron is a rural village in central Scotland known for its historic textile industry and scenic setting near the Campsie Fells.
 E164289 NE FINISHED

How this triple was built (4 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: Balfron | Statement: [Stirlingshire, hasMajorSettlement, Balfron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balfron
Context triple: [Stirlingshire, hasMajorSettlement, Balfron]
  • A. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • B. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Le Creusot
    Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
  • E. Herstal
    Herstal is an industrial town in the Liège province of eastern Belgium, known historically for its arms manufacturing and proximity to the city of Liège.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Balfron
Triple: [Stirlingshire, hasMajorSettlement, Balfron]
Generated description
Balfron is a rural village in central Scotland known for its historic textile industry and scenic setting near the Campsie Fells.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balfron
Target entity description: Balfron is a rural village in central Scotland known for its historic textile industry and scenic setting near the Campsie Fells.
  • A. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • B. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Le Creusot
    Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
  • E. Herstal
    Herstal is an industrial town in the Liège province of eastern Belgium, known historically for its arms manufacturing and proximity to the city of Liège.
  • F. None of above. chosen

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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4be7d208190bcfb46239bd72e56 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016708bc8190af01b10a0f0d6942 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad023335288190b7b1137f42e0c128 completed March 8, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad02aa822881908c9f947875c96253 completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 8 p.m.