Triple
T1127523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker River |
E24753
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Walker Lake |
E21666
|
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: Walker Lake | Statement: [Walker River, mouth, Walker Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walker Lake Context triple: [Walker River, mouth, Walker Lake]
-
A.
Walker Lake
chosen
Walker Lake is a large natural desert lake in western Nevada known for its shrinking water levels and importance as a habitat for migratory birds and native fish.
-
B.
Wilson Lake
Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
-
C.
Lay Lake
Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
-
D.
Echo Lake
Echo Lake is a themed area within Disney's Hollywood Studios that evokes 1930s Hollywood around a central lake, featuring attractions, dining, and entertainment.
-
E.
Fairview Lake
Fairview Lake is a small recreational and residential lake located in the city of Fairview in Multnomah County, Oregon.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdd39b88190bf46de38818fe2df |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ebe47f081909d53dead07879b77 |
completed | March 9, 2026, 8:03 a.m. |
Created at: March 1, 2026, 7:44 p.m.