Triple
T14367001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swallow Falls State Park |
E356260
|
entity |
| Predicate | hasWaterfall |
P13549
|
FINISHED |
| Object | Swallow Falls |
E808446
|
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: Swallow Falls | Statement: [Swallow Falls State Park, hasWaterfall, Swallow Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swallow Falls Context triple: [Swallow Falls State Park, hasWaterfall, Swallow Falls]
-
A.
Swallow Falls
chosen
Swallow Falls is a scenic series of waterfalls on the River Llugwy in Snowdonia, Wales, renowned for its picturesque woodland setting and popular walking trails.
-
B.
Assop Falls
Assop Falls is a scenic waterfall and popular natural tourist attraction located near Jos in Plateau State, Nigeria.
-
C.
Argyle Falls
Argyle Falls is a popular multi-tiered waterfall in Tobago known for its scenic rainforest setting and natural swimming pools.
-
D.
Cochecho Falls
Cochecho Falls is a historic waterfall and former mill site on the Cocheco River in downtown Dover, New Hampshire.
-
E.
Elowah Falls
Elowah Falls is a picturesque waterfall in Oregon renowned for its tall, graceful plunge and lush mossy surroundings within the Columbia River Gorge.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:15 a.m.