Triple
T16130018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canyon Lake |
E391370
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Salt River |
E70201
|
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: Salt River | Statement: [Canyon Lake, watercourse, Salt River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salt River Context triple: [Canyon Lake, watercourse, Salt River]
-
A.
Salt River
chosen
The Salt River is a significant river in central Arizona that flows through the Phoenix metropolitan area and serves as a major source of water and recreation in the region.
-
B.
Salt River
Salt River is a tributary of the Ohio River in Kentucky that flows through several counties and has historically been important for local transportation and settlement.
-
C.
Gila River
The Gila River is a major waterway in the southwestern United States that flows through New Mexico and Arizona before joining the Colorado River.
-
D.
Agua Fria River
The Agua Fria River is a seasonal waterway in central Arizona that flows south through desert and riparian habitats before joining the Gila River near Phoenix.
-
E.
Gila
Gila is a character in the story "One for the Road," playing a role within its narrative events and relationships.
- 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_6a00bafb761881908e7a891ef390982a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:01 a.m.