Triple

T3528983
Position Surface form Disambiguated ID Type / Status
Subject Knife-Edge Bridge E74610 entity
Predicate offersViewOf P3821 FINISHED
Object Victoria Falls E8989 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: Victoria Falls | Statement: [Knife-Edge Bridge, offersViewOf, Victoria Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Falls
Context triple: [Knife-Edge Bridge, offersViewOf, Victoria Falls]
  • A. Victoria Falls chosen
    Victoria Falls is one of the world’s largest and most famous waterfalls, spanning the Zambezi River between Zambia and Zimbabwe and renowned for its dramatic curtain of falling water and mist.
  • B. Kwa Falls
    Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
  • C. Kongou Falls
    Kongou Falls is a spectacular multi-tiered waterfall on the Ivindo River in Gabon, renowned for its powerful cascades and pristine rainforest surroundings.
  • D. Uhuru Falls
    Uhuru Falls is a powerful waterfall in northwestern Uganda located near Murchison Falls on the Nile River, known for its dramatic cascades and scenic surroundings.
  • E. Augrabies Falls
    Augrabies Falls is a dramatic waterfall on the Orange River in South Africa, renowned for its powerful cascades through a rugged granite 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcc879c8190ab4ab3e2b67d9a16 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.