Triple
T12999804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Blue |
E322137
|
entity |
| Predicate | nearestLake |
P47449
|
FINISHED |
| Object | Webb Lake |
—
|
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: Webb Lake | Statement: [Mount Blue, nearestLake, Webb Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webb Lake Context triple: [Mount Blue, nearestLake, Webb Lake]
-
A.
Webb Lake
chosen
Webb Lake is a scenic freshwater lake in western Maine known for outdoor recreation such as boating, fishing, and camping.
-
B.
Dinas Lake
Dinas Lake is a scenic Welsh lake known for its tranquil waters and surrounding mountainous landscape near Snowdonia.
-
C.
Burke Lake
Burke Lake is a man-made reservoir in Fairfax Station, Virginia, known for fishing, boating, and surrounding recreational amenities.
-
D.
Banks Lake
Banks Lake is a large man-made reservoir in central Washington State, created as part of the Columbia Basin Project to store and distribute irrigation water.
-
E.
Stinson Lake
Stinson Lake is a freshwater lake in New Hampshire known for its clear waters, recreational opportunities, and location within the Merrimack River watershed.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:46 p.m.