Triple

T12750936
Position Surface form Disambiguated ID Type / Status
Subject Sanquhar E304726 entity
Predicate hasPostTown P2711 FINISHED
Object SANQUHAR
SANQUHAR is a small town in Dumfries and Galloway, Scotland, known for its historic knitting tradition and one of the world’s oldest working post offices.
 E1000809 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: SANQUHAR | Statement: [Sanquhar, hasPostTown, SANQUHAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SANQUHAR
Context triple: [Sanquhar, hasPostTown, SANQUHAR]
  • A. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • B. Quarry
    Quarry is a neo-noir television drama series starring Logan Marshall-Green as a Marine sniper struggling to readjust to civilian life in 1970s America while being drawn into a criminal underworld.
  • C. Sayanche
    Sayanche is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • D. Sinkyone
    Sinkyone is an extinct Athabaskan language once spoken by the Sinkyone people of northern California’s Pacific coast.
  • E. Sancar
    Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
  • 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: SANQUHAR
Triple: [Sanquhar, hasPostTown, SANQUHAR]
Generated description
SANQUHAR is a small town in Dumfries and Galloway, Scotland, known for its historic knitting tradition and one of the world’s oldest working post offices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SANQUHAR
Target entity description: SANQUHAR is a small town in Dumfries and Galloway, Scotland, known for its historic knitting tradition and one of the world’s oldest working post offices.
  • A. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • B. Quarry
    Quarry is a neo-noir television drama series starring Logan Marshall-Green as a Marine sniper struggling to readjust to civilian life in 1970s America while being drawn into a criminal underworld.
  • C. Sayanche
    Sayanche is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • D. Sinkyone
    Sinkyone is an extinct Athabaskan language once spoken by the Sinkyone people of northern California’s Pacific coast.
  • E. Sancar
    Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:27 p.m.