Triple
T5063136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop, California |
E114073
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Lake Sabrina |
E386697
|
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: Lake Sabrina | Statement: [Bishop, California, hasNearbyAttraction, Lake Sabrina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Sabrina Context triple: [Bishop, California, hasNearbyAttraction, Lake Sabrina]
-
A.
Lake Sabrina
chosen
Lake Sabrina is a scenic alpine reservoir in California’s Eastern Sierra Nevada, popular for fishing, hiking, and mountain views.
-
B.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
C.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
-
D.
Lake Gilead
Lake Gilead is a small reservoir in Putnam County, New York, that serves as part of New York City's Croton water supply system.
-
E.
Lake Zoar
Lake Zoar is a man-made reservoir in western Connecticut popular for boating, fishing, and other recreational activities.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7475be3c819085cde8ec544c407e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d636f0386481909a4957d57b2493ff |
completed | April 8, 2026, 11:07 a.m. |
Created at: March 20, 2026, 1:38 p.m.