Triple
T17368899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaweah Peaks region |
E422257
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Red Kaweah |
—
|
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: Red Kaweah | Statement: [Kaweah Peaks region, contains, Red Kaweah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Kaweah Context triple: [Kaweah Peaks region, contains, Red Kaweah]
-
A.
Red Kaweah
chosen
Red Kaweah is a prominent, rugged peak in California’s Sierra Nevada, known for its remote location and challenging alpine climbing routes.
-
B.
Kīhei
Kīhei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and residential communities.
-
C.
Okehi
Okehi is a town in Rivers State, Nigeria, that serves as the administrative headquarters of the Ikwerre Local Government Area.
-
D.
Kaʻaʻawa
Kaʻaʻawa is a small coastal community on Oʻahu, Hawaiʻi, known for its scenic beaches, lush valleys, and views of the Koʻolau mountain range.
-
E.
Kamaka
Kamaka is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain and sparse habitation.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.