Triple
T22832900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | upper Tuolumne River basin |
E565850
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Dana Meadows |
—
|
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: Dana Meadows | Statement: [upper Tuolumne River basin, hasFeature, Dana Meadows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Meadows Context triple: [upper Tuolumne River basin, hasFeature, Dana Meadows]
-
A.
Dana Meadows
chosen
Dana Meadows is a high-elevation alpine meadow area in Yosemite National Park, known for its scenic subalpine landscapes and proximity to Tioga Pass.
-
B.
Kim Gardner
Kim Gardner is an American musician best known as the bassist for the 1960s British rock band The Creation and later a member of the supergroup Badger.
-
C.
Carey Wilber
Carey Wilber was an American television writer best known for his work on classic series such as Star Trek, for which he created the character Khan Noonien Singh.
-
D.
Donna Ehlert
Donna Ehlert is best known as the first wife of American comedic actor Harvey Korman.
-
E.
Pam Koffler
Pam Koffler is an American film producer and co-founder of the independent production company Killer Films, known for acclaimed art-house and LGBTQ-themed cinema.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2c8d3881909eb19d65187ed719 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.