Triple
T6972176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirzapur district |
E161622
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Tanda Falls |
E161624
|
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: Tanda Falls | Statement: [Mirzapur district, touristAttraction, Tanda Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanda Falls Context triple: [Mirzapur district, touristAttraction, Tanda Falls]
-
A.
Tanda Falls
chosen
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
-
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.
Dunhinda Falls
Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
-
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.
Furepe Falls
Furepe Falls is a scenic coastal waterfall in Japan’s Shiretoko Peninsula, known for its dramatic drop from seaside cliffs directly into the Sea of Okhotsk and its rich surrounding wildlife.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db398f10819096d34b179ccb20d5 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a2b2f481908718b4803cfbfae9 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.