Triple
T8753881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Falls State Park |
E208026
|
entity |
| Predicate | trailPassesBehind |
P49438
|
FINISHED |
| Object | Lower South Falls |
E762515
|
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: Lower South Falls | Statement: [Silver Falls State Park, trailPassesBehind, Lower South Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower South Falls Context triple: [Silver Falls State Park, trailPassesBehind, Lower South Falls]
-
A.
Lower South Falls
chosen
Lower South Falls is a picturesque waterfall along the Trail of Ten Falls in Oregon, known for its broad curtain of water and a popular footpath that passes behind the cascade.
-
B.
Upper Falls
Upper Falls is a village and neighborhood within the city of Newton, Massachusetts, known for its historic mill district along the Charles River.
-
C.
Lower North Falls
Lower North Falls is a scenic waterfall along the Trail of Ten Falls in Oregon, known for its broad, graceful cascade through a lush forested canyon.
-
D.
Lower Falls
Lower Falls is a scenic waterfall and popular swimming spot located within Robert H. Treman State Park in New York.
-
E.
Lower Falls
Lower Falls is a popular scenic waterfall and swimming area along the Swift River in New Hampshire’s White Mountain National Forest.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb7875448190a2478cbb623c31e6 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:39 p.m.