Triple
T23108782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakelands Academy |
E576254
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Lakelands Academy |
—
|
NE NERFINISHED |
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: Lakelands Academy | Statement: [Lakelands Academy, hasName, Lakelands Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakelands Academy Context triple: [Lakelands Academy, hasName, Lakelands Academy]
-
A.
Lakelands Academy
chosen
Lakelands Academy is a secondary school located in the town of Ellesmere in Shropshire, England.
-
B.
South Lake Academy
South Lake Academy is a historic educational complex within the ancient village of Hongcun in China, reflecting traditional Anhui architecture and cultural heritage.
-
C.
Lakeside Academy
Lakeside Academy is a secondary school located in the Lachine borough of Montreal, Quebec, Canada.
-
D.
Lakes High School
Lakes High School is a public secondary school in Lakewood, Washington, known for serving a diverse student body with a range of academic and extracurricular programs.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0d3d4881908e32837b3fbbb406 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.