Triple

T8434549
Position Surface form Disambiguated ID Type / Status
Subject Tis Issat E199193 entity
Predicate alsoKnownAs P39 FINISHED
Object Blue Nile Falls E729235 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: Blue Nile Falls | Statement: [Tis Issat, alsoKnownAs, Blue Nile Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Nile Falls
Context triple: [Tis Issat, alsoKnownAs, Blue Nile Falls]
  • A. Blue Nile Falls chosen
    Blue Nile Falls is a famous waterfall on the Blue Nile River in Ethiopia, renowned for its dramatic cascades and scenic beauty.
  • 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. Elephant Falls
    Elephant Falls is a popular multi-tiered waterfall near Shillong in the Indian state of Meghalaya, known for its scenic beauty and easy accessibility to tourists.
  • D. Tanda Falls
    Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
  • E. Tuasan Falls
    Tuasan Falls is a scenic waterfall on Camiguin Island in the Philippines, known for its clear, cool waters and lush natural surroundings that make it a popular spot for swimming and nature trips.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a905ac8190b1015e1da9b16938 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.