Triple

T6698448
Position Surface form Disambiguated ID Type / Status
Subject Maria Fitel E152812 entity
Predicate educatedAt P5 FINISHED
Object Lakeside School unclear NED1 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: Lakeside School | Statement: [Maria Fitel, educatedAt, Lakeside School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeside School
Context triple: [Maria Fitel, educatedAt, Lakeside School]
  • A. Lakeside School
    Lakeside School is a prestigious private preparatory school in Seattle, Washington, known for its rigorous academics and notable alumni including tech and business leaders.
  • B. Lakeside High School
    Lakeside High School is a public secondary school serving students in Columbia County, Georgia.
  • C. Lakeside Academy
    Lakeside Academy is a secondary school located in the Lachine borough of Montreal, Quebec, Canada.
  • 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. Lakelands Academy
    Lakelands Academy is a secondary school located in the town of Ellesmere in Shropshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a6082c819097a4301538399f59 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007f2a648190a10792840536035b completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:05 p.m.