Triple
T17830368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Baldy |
E445235
|
entity |
| Predicate | isAccessibleFrom |
P1985
|
FINISHED |
| Object | San Bernardino |
—
|
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: San Bernardino | Statement: [Mount Baldy, isAccessibleFrom, San Bernardino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Bernardino Context triple: [Mount Baldy, isAccessibleFrom, San Bernardino]
-
A.
San Bernardino
chosen
San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
-
B.
Murrieta
Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
-
C.
Hemet
Hemet is a city in Southern California known for its retirement communities, proximity to the San Jacinto Mountains, and the annual Ramona Pageant, one of the longest-running outdoor plays in the United States.
-
D.
Fontana
Fontana was a British paperback imprint of HarperCollins known for publishing popular fiction and non-fiction titles in the 20th century.
-
E.
Fontana
Fontana is an Italian surname borne by numerous notable figures in fields such as art, architecture, music, and politics.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.