Triple
T15321621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enfield Glen |
E366304
|
entity |
| Predicate | hasWaterfall |
P13549
|
FINISHED |
| Object | Lower Falls |
E376985
|
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 Falls | Statement: [Enfield Glen, hasWaterfall, Lower Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Falls Context triple: [Enfield Glen, hasWaterfall, Lower Falls]
-
A.
Lower Falls
chosen
Lower Falls is a scenic waterfall and popular swimming spot located within Robert H. Treman State Park in New York.
-
B.
Lower Falls
Lower Falls is a prominent waterfall on the Genesee River in Rochester, New York, known for its dramatic drop and scenic gorge setting.
-
C.
Lower Falls
Lower Falls is a popular scenic waterfall and swimming area along the Swift River in New Hampshire’s White Mountain National Forest.
-
D.
Lower Falls
Lower Falls is the downstream section of Aysgarth Falls in North Yorkshire, England, known for its picturesque cascades and riverside scenery along the River Ure.
-
E.
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.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd460288190b5c41f0a0aeee949 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7921208190bbf4e1a01c6ec5ee |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 3:16 a.m.