Triple
T11293419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reds Meadow Valley |
E267386
|
entity |
| Predicate | hasAccessTo |
P1017
|
FINISHED |
| Object | Rainbow Falls |
E53299
|
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: Rainbow Falls | Statement: [Reds Meadow Valley, hasAccessTo, Rainbow Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainbow Falls Context triple: [Reds Meadow Valley, hasAccessTo, Rainbow Falls]
-
A.
Rainbow Falls
chosen
Rainbow Falls is a scenic waterfall in California’s eastern Sierra Nevada, renowned for its dramatic drop and colorful mist near Mammoth Lakes.
-
B.
Rainbow Falls
Rainbow Falls is a scenic waterfall on the Missouri River near Great Falls, Montana, known for its colorful cascades and role in the region’s historic river corridor.
-
C.
Rainbow Falls
Rainbow Falls is a notable segment of Victoria Falls renowned for its dramatic height and frequent, vivid rainbows formed in the mist.
-
D.
Rainbow Falls
Rainbow Falls is a scenic Hawaiian waterfall near Hilo, known for its broad cascade, lush surroundings, and frequent rainbow appearances in the mist.
-
E.
Argyle Falls
Argyle Falls is a popular multi-tiered waterfall in Tobago known for its scenic rainforest setting and natural swimming pools.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a246a3c81909f4f1d32a1b1efeb |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.