Triple
T16130044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canyon Lake |
E391370
|
entity |
| Predicate | upstreamFrom |
P5955
|
FINISHED |
| Object | Saguaro Lake |
E350630
|
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: Saguaro Lake | Statement: [Canyon Lake, upstreamFrom, Saguaro Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saguaro Lake Context triple: [Canyon Lake, upstreamFrom, Saguaro Lake]
-
A.
Saguaro Lake
chosen
Saguaro Lake is a scenic reservoir in central Arizona known for its desert canyon landscapes, boating, and fishing opportunities.
-
B.
Lago Verde
Lago Verde is a scenic mountain lake in southern Chile, known for its clear green waters and forested surroundings within Huerquehue National Park.
-
C.
Lavon Lake
Lavon Lake is a large reservoir in North Texas used for water supply, flood control, and recreation such as boating and fishing.
-
D.
Rose Canyon Lake
Rose Canyon Lake is a small recreational mountain lake in Arizona popular for fishing, camping, and picnicking amid the forested slopes of the Santa Catalina Mountains.
-
E.
Lake Anza
Lake Anza is a popular man-made swimming and recreation lake nestled in the Berkeley Hills of the San Francisco Bay Area.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202075860819088d27d921609a6ce |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2aff07c8190bf693f652e2a2808 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.