Triple
T4707521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Hills |
E104425
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Sierra Nevada crest |
E245
|
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: Sierra Nevada crest | Statement: [Alabama Hills, hasViewOf, Sierra Nevada crest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra Nevada crest Context triple: [Alabama Hills, hasViewOf, Sierra Nevada crest]
-
A.
Sierra Nevada
Sierra Nevada is a prominent mountain range in southern Spain known for its high peaks, ski resorts, and inclusion in a national park.
-
B.
Sierra Nevada
chosen
Sierra Nevada is a major mountain range in the western United States known for its dramatic granite peaks, extensive forests, and iconic natural landmarks such as Yosemite National Park and Lake Tahoe.
-
C.
Sierra Nevada passes
Sierra Nevada passes are the mountain routes that traverse California’s Sierra Nevada range, providing key transportation corridors through its rugged terrain.
-
D.
Sierra
Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
-
E.
Sierra
Sierra is one of the central "Actives" in the TV series *Dollhouse*, known for her complex backstory and evolving sense of identity amid the show's mind-wiping technology.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e9f0b88190820aa7fba2f91b6e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d7ad90c8190b6f36472a209a0f9 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:17 p.m.