Triple

T19975978
Position Surface form Disambiguated ID Type / Status
Subject Ashover E493690 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Ashover Primary School
Ashover Primary School is a village primary school serving young children in the rural community of Ashover in Derbyshire, England.
E1403903 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: Ashover Primary School | Statement: [Ashover, hasPrimarySchool, Ashover Primary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashover Primary School
Context triple: [Ashover, hasPrimarySchool, Ashover Primary School]
  • A. Alsager School
    Alsager School is a secondary school and sixth form serving the town of Alsager in Cheshire, England.
  • B. Woodley Primary School
    Woodley Primary School is a local primary education institution serving young children in the Woodley area.
  • C. Mountain Ash Comprehensive School
    Mountain Ash Comprehensive School is a secondary school serving the community of Mountain Ash in Rhondda Cynon Taf, Wales.
  • D. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • E. Holywood Primary School
    Holywood Primary School is a local primary education institution serving young children in the town of Holywood, Northern Ireland.
  • 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: Ashover Primary School
Triple: [Ashover, hasPrimarySchool, Ashover Primary School]
Generated description
Ashover Primary School is a village primary school serving young children in the rural community of Ashover in Derbyshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashover Primary School
Target entity description: Ashover Primary School is a village primary school serving young children in the rural community of Ashover in Derbyshire, England.
  • A. Alsager School
    Alsager School is a secondary school and sixth form serving the town of Alsager in Cheshire, England.
  • B. Woodley Primary School
    Woodley Primary School is a local primary education institution serving young children in the Woodley area.
  • C. Mountain Ash Comprehensive School
    Mountain Ash Comprehensive School is a secondary school serving the community of Mountain Ash in Rhondda Cynon Taf, Wales.
  • D. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • E. Holywood Primary School
    Holywood Primary School is a local primary education institution serving young children in the town of Holywood, Northern Ireland.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d0f4fb48190ad63afeff3513523 completed April 20, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd9ccd081909bc8555dfab586b7 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07feea266c81909da71d549a8857d3 completed May 16, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff598550819093b6303a88dfefd2 completed May 16, 2026, 5:23 a.m.
Created at: April 11, 2026, 3:26 p.m.