Triple

T14020413
Position Surface form Disambiguated ID Type / Status
Subject Lara, Victoria E337314 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Lara Lake Primary School E1076354 NE FINISHED

How this triple was built (2 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 Lake Primary School | Statement: [Lara, Victoria, hasPrimarySchool, Lara Lake Primary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Lake Primary School
Context triple: [Lara, Victoria, hasPrimarySchool, Lara Lake Primary School]
  • A. Lara Primary School chosen
    Lara Primary School is a local government primary school serving the community of Lara in the Australian state of Victoria.
  • B. Lakeside Public School
    Lakeside Public School is a local primary/elementary school serving students in the Keswick community.
  • C. Laburnum Primary School
    Laburnum Primary School is a primary-level educational institution serving young children in the Sandy area.
  • D. Lakeside Elementary School
    Lakeside Elementary School is a public elementary school in Coppell, Texas, serving early-grade students as part of the Coppell Independent School District.
  • E. Riddle Brook School
    Riddle Brook School is a public elementary school serving young students in the town of Bedford, New Hampshire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69fcb655bb34819097fe88ba76464be8 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:19 p.m.