Triple
T1735701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnaby |
E37913
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Deer Lake |
E425359
|
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: Deer Lake | Statement: [Burnaby, hasLake, Deer Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deer Lake Context triple: [Burnaby, hasLake, Deer Lake]
-
A.
Deer Lake
chosen
Deer Lake is a scenic residential and recreational area in Burnaby, British Columbia, known for its lakeside park, cultural facilities, and walking trails.
-
B.
Fairview Lake
Fairview Lake is a small recreational and residential lake located in the city of Fairview in Multnomah County, Oregon.
-
C.
Bantam Lake
Bantam Lake is the largest natural lake in Connecticut, known for its recreational activities and scenic surroundings.
-
D.
Canadice Lake
Canadice Lake is one of New York State’s smaller, undeveloped Finger Lakes, known for its pristine water and protected, wilderness-like surroundings.
-
E.
Newcomb Lake
Newcomb Lake is a remote Adirondack lake in New York’s High Peaks region, known for its wilderness setting and historic great camp architecture.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a369048190bae352573f5082f1 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b729cc34819093ebf3fac53d7a9d |
completed | March 14, 2026, 7:29 p.m. |
Created at: March 4, 2026, 7:30 p.m.