Triple
T14495084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinohara |
E359474
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Hossawa Falls |
E1111397
|
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: Hossawa Falls | Statement: [Hinohara, hasAttraction, Hossawa Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hossawa Falls Context triple: [Hinohara, hasAttraction, Hossawa Falls]
-
A.
Hossawa Falls
chosen
Hossawa Falls is a scenic waterfall in Akiruno, Tokyo, known for its natural beauty and popularity as a hiking and sightseeing spot.
-
B.
Boyoma Falls
Boyoma Falls is a series of powerful cataracts on the Lualaba River in the Democratic Republic of the Congo, known as one of the largest waterfall systems in Africa by volume.
-
C.
Tanda Falls
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
-
D.
Diyaluma Falls
Diyaluma Falls is one of Sri Lanka’s tallest and most scenic waterfalls, renowned for its dramatic cascades and natural rock pools that attract many visitors.
-
E.
Zarwani Falls
Zarwani Falls is a scenic waterfall nestled within Gujarat’s Shoolpaneshwar Wildlife Sanctuary, popular for its natural beauty, trekking, and eco-tourism.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7543f88190ac336c75188eb00a |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:21 a.m.