Triple
T6194139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellesmere |
E138467
|
entity |
| Predicate | hasAmenity |
P105
|
FINISHED |
| Object |
Lakelands Academy
Lakelands Academy is a secondary school located in the town of Ellesmere in Shropshire, England.
|
E576254
|
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: Lakelands Academy | Statement: [Ellesmere, hasAmenity, Lakelands Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakelands Academy Context triple: [Ellesmere, hasAmenity, Lakelands Academy]
-
A.
Lakeside Academy
Lakeside Academy is a secondary school located in the Lachine borough of Montreal, Quebec, Canada.
-
B.
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.
-
C.
Lakeside High School
Lakeside High School is a public secondary school serving students in Columbia County, Georgia.
-
D.
Lakeland High School
Lakeland High School is a secondary school best known for being the alma mater of Pro Football Hall of Famer and former NFL linebacker Ray Lewis.
-
E.
South Lakes High School
South Lakes High School is a public secondary school in Reston, Virginia, known for its diverse student body and strong academic and extracurricular 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: Lakelands Academy Triple: [Ellesmere, hasAmenity, Lakelands Academy]
Generated description
Lakelands Academy is a secondary school located in the town of Ellesmere in Shropshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakelands Academy Target entity description: Lakelands Academy is a secondary school located in the town of Ellesmere in Shropshire, England.
-
A.
Lakeside Academy
Lakeside Academy is a secondary school located in the Lachine borough of Montreal, Quebec, Canada.
-
B.
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.
-
C.
Lakeside High School
Lakeside High School is a public secondary school serving students in Columbia County, Georgia.
-
D.
Lakeland High School
Lakeland High School is a secondary school best known for being the alma mater of Pro Football Hall of Famer and former NFL linebacker Ray Lewis.
-
E.
South Lakes High School
South Lakes High School is a public secondary school in Reston, Virginia, known for its diverse student body and strong academic and extracurricular 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1be41b0c881909aff05430b23dc71 |
completed | March 23, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bf50f6b881909e23e95d6ff0fd4d |
completed | March 23, 2026, 10:31 p.m. |
Created at: March 22, 2026, 4:19 p.m.