Triple

T6485456
Position Surface form Disambiguated ID Type / Status
Subject Norden E146496 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Norden Community Primary School
Norden Community Primary School is a local primary education institution serving young children in the village of Norden, England.
E595910 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: Norden Community Primary School | Statement: [Norden, hasPrimarySchool, Norden Community Primary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norden Community Primary School
Context triple: [Norden, hasPrimarySchool, Norden Community Primary School]
  • A. The North School
    The North School is a secondary school located in Ashford, Kent, England.
  • B. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • C. Lealholm Primary School
    Lealholm Primary School is a small village primary school serving the local community of Lealholm in North Yorkshire, England.
  • D. Seven Sisters Primary School
    Seven Sisters Primary School is a local community primary school serving young children in the Seven Sisters area.
  • E. Rednock School
    Rednock School is a secondary school and sixth form serving students in and around the town of Dursley in Gloucestershire, England.
  • 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: Norden Community Primary School
Triple: [Norden, hasPrimarySchool, Norden Community Primary School]
Generated description
Norden Community Primary School is a local primary education institution serving young children in the village of Norden, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norden Community Primary School
Target entity description: Norden Community Primary School is a local primary education institution serving young children in the village of Norden, England.
  • A. The North School
    The North School is a secondary school located in Ashford, Kent, England.
  • B. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • C. Lealholm Primary School
    Lealholm Primary School is a small village primary school serving the local community of Lealholm in North Yorkshire, England.
  • D. Seven Sisters Primary School
    Seven Sisters Primary School is a local community primary school serving young children in the Seven Sisters area.
  • E. Rednock School
    Rednock School is a secondary school and sixth form serving students in and around the town of Dursley in Gloucestershire, England.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6efe1881909a044b1cdaa511af completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b4e91c81908dfa1798a057b21a completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c65463dad88190ad2429140623ff80 completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654d0c2948190a4d586071133d759 completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:52 p.m.