Triple

T21482710
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Falls E530034 entity
Predicate nearbyTown P3883 FINISHED
Object Sabie NE NERFINISHED

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: Sabie | Statement: [Lisbon Falls, nearbyTown, Sabie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabie
Context triple: [Lisbon Falls, nearbyTown, Sabie]
  • A. Sabie chosen
    Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
  • B. Mzima Springs
    Mzima Springs is a series of natural freshwater springs in Kenya renowned for their clear waters, hippos, crocodiles, and underwater viewing platforms within Tsavo National Park.
  • C. Ngqumbazi
    Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
  • D. Nxai Pan
    Nxai Pan is a vast salt pan and seasonal wildlife area in northeastern Botswana, renowned for its open grasslands, baobab trees, and large migrations of zebras and other game.
  • E. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea34c4388190adc78d209d2aafb8 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.