Triple
T7364608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel Rock |
E169837
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Chapel Falls |
E177375
|
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: Chapel Falls | Statement: [Chapel Rock, nearby, Chapel Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapel Falls Context triple: [Chapel Rock, nearby, Chapel Falls]
-
A.
Chapel Falls
chosen
Chapel Falls is a scenic multi-tiered waterfall in Michigan’s Upper Peninsula, located along the Chapel Loop trail within Pictured Rocks National Lakeshore.
-
B.
Barron Falls
Barron Falls is a dramatic tiered waterfall in Queensland, Australia, known for its powerful wet-season flow and popularity as a scenic tourist attraction.
-
C.
Potters Falls
Potters Falls is a scenic waterfall along Six Mile Creek near Ithaca, New York, popular for hiking and swimming.
-
D.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
E.
Lobe Falls
Lobe Falls is a scenic waterfall and popular natural attraction located in the South Region.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f161d76081909da6d698fb3d8bb1 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c480ef48190b588a2fffb0b1568 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:06 p.m.