Triple

T13237736
Position Surface form Disambiguated ID Type / Status
Subject Young, New South Wales E315195 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Young Public School
Young Public School is a primary education institution serving the community of Young in New South Wales, Australia.
E1029572 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: Young Public School | Statement: [Young, New South Wales, hasPrimarySchool, Young Public School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Public School
Context triple: [Young, New South Wales, hasPrimarySchool, Young Public School]
  • A. Lower Park School
    Lower Park School is a primary school serving the community of Poynton in Cheshire, England.
  • B. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • D. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • E. Parkview School
    Parkview School is an alternative public school within the Placentia-Yorba Linda Unified School District in California, serving students through non-traditional educational programs.
  • 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: Young Public School
Triple: [Young, New South Wales, hasPrimarySchool, Young Public School]
Generated description
Young Public School is a primary education institution serving the community of Young in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Young Public School
Target entity description: Young Public School is a primary education institution serving the community of Young in New South Wales, Australia.
  • A. Lower Park School
    Lower Park School is a primary school serving the community of Poynton in Cheshire, England.
  • B. East School
    East School is a public elementary school serving young students in the New Canaan, Connecticut community.
  • C. South School
    South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
  • D. South School
    South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
  • E. Parkview School
    Parkview School is an alternative public school within the Placentia-Yorba Linda Unified School District in California, serving students through non-traditional educational programs.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f70386bf008190b984c81103326a67 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:22 p.m.