Triple
T14151091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Audubon |
E350679
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | South Lakes High School |
E172847
|
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: South Lakes High School | Statement: [Lake Audubon, near, South Lakes High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Lakes High School Context triple: [Lake Audubon, near, South Lakes High School]
-
A.
South Lakes High School
chosen
South Lakes High School is a public secondary school in Reston, Virginia, known for its diverse student body and strong academic and extracurricular programs.
-
B.
Lakeside High School
Lakeside High School is a public secondary school serving students in Columbia County, Georgia.
-
C.
Lake Region High School
Lake Region High School is a public secondary school serving students from Bridgton and surrounding communities in western Maine.
-
D.
South Lake Schools
South Lake Schools is a public school district serving students in and around Grosse Pointe Shores in southeastern Michigan.
-
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 (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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf21f8c8819097ff26e6bb345b52 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:57 a.m.