Triple
T6697884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Lake |
E152796
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Red Lake (lake) |
E39899
|
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: Red Lake (lake) | Statement: [Red Lake, hasNearbyWaterBody, Red Lake (lake)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Lake (lake) Context triple: [Red Lake, hasNearbyWaterBody, Red Lake (lake)]
-
A.
Red Lake
Red Lake is a remote mining and tourism community in northwestern Ontario, Canada, known for its rich gold deposits and access to wilderness and fishing.
-
B.
Red Lake
chosen
Red Lake is a high-elevation alpine lake in the Sierra Nevada of California, known for its scenic mountain setting and outdoor recreation opportunities.
-
C.
Thompson Lake
Thompson Lake is a scenic freshwater lake in southwestern Maine known for its clear waters, recreational boating, and fishing opportunities.
-
D.
Black Lake
Black Lake is a small inland lake located in Norton Shores, Michigan, known for local recreation and natural scenery.
-
E.
Black Lake
Black Lake is a freshwater lake in Thurston County, Washington, known for recreation such as boating and fishing amid a largely residential and forested shoreline.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.