Triple

T14020412
Position Surface form Disambiguated ID Type / Status
Subject Lara, Victoria E337314 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Lara Primary School
Lara Primary School is a local government primary school serving the community of Lara in the Australian state of Victoria.
E1076354 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: Lara Primary School | Statement: [Lara, Victoria, hasPrimarySchool, Lara Primary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Primary School
Context triple: [Lara, Victoria, hasPrimarySchool, Lara Primary School]
  • A. Laburnum Primary School
    Laburnum Primary School is a primary-level educational institution serving young children in the Sandy area.
  • B. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • C. Arundale School
    Arundale School is an educational institution notable as one of the early schools attended by British comedian and actor Harry Enfield.
  • D. Baglan Primary School
    Baglan Primary School is a local primary education institution serving young children in the Baglan area of Wales.
  • E. Cimla Primary School
    Cimla Primary School is a local primary education institution serving young children in the Cimla area of Neath, Wales.
  • 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: Lara Primary School
Triple: [Lara, Victoria, hasPrimarySchool, Lara Primary School]
Generated description
Lara Primary School is a local government primary school serving the community of Lara in the Australian state of Victoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lara Primary School
Target entity description: Lara Primary School is a local government primary school serving the community of Lara in the Australian state of Victoria.
  • A. Laburnum Primary School
    Laburnum Primary School is a primary-level educational institution serving young children in the Sandy area.
  • B. Alva Primary School
    Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
  • C. Arundale School
    Arundale School is an educational institution notable as one of the early schools attended by British comedian and actor Harry Enfield.
  • D. Baglan Primary School
    Baglan Primary School is a local primary education institution serving young children in the Baglan area of Wales.
  • E. Cimla Primary School
    Cimla Primary School is a local primary education institution serving young children in the Cimla area of Neath, Wales.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32f78dc8190bd357d179cbaa5bc completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc43c344c08190b5afa023f5009cb4 completed May 7, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fc444630408190b368611373265973 completed May 7, 2026, 7:50 a.m.
Created at: April 9, 2026, 10:19 p.m.