Triple

T24934467
Position Surface form Disambiguated ID Type / Status
Subject Mentone, Victoria E623275 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Mentone Girls’ Grammar School
Mentone Girls’ Grammar School is an independent Anglican day school for girls located in the bayside suburb of Mentone in Melbourne, Australia.
E1098608 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: Mentone Girls’ Grammar School | Statement: [Mentone, Victoria, hasEducationalInstitution, Mentone Girls’ Grammar School]
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: Mentone Girls’ Grammar School
Triple: [Mentone, Victoria, hasEducationalInstitution, Mentone Girls’ Grammar School]
Generated description
Mentone Girls’ Grammar School is an independent Anglican day school for girls located in the bayside suburb of Mentone in Melbourne, Australia.

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_69e2fac6b5a48190a1c38857f00915a9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423d4043c8190952356417e9b504c completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10489b8590819083c7e4111246f746 completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a104abc7170819085a5b371f42f5618 completed May 22, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a104c5ff1c48190be051721ac0ebae3 completed May 22, 2026, 12:30 p.m.
Created at: April 18, 2026, 5:30 a.m.