Triple

T10650258
Position Surface form Disambiguated ID Type / Status
Subject Rozi E250947 entity
Predicate alsoKnownAs P39 FINISHED
Object Barotse E67694 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: Barotse | Statement: [Rozi, alsoKnownAs, Barotse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barotse
Context triple: [Rozi, alsoKnownAs, Barotse]
  • A. Lake Kariba
    Lake Kariba is one of the world’s largest man-made lakes, created by damming the Zambezi River between Zambia and Zimbabwe and known for its hydroelectric power generation and rich wildlife.
  • B. Barotse Floodplain chosen
    The Barotse Floodplain is a vast seasonal wetland in western Zambia, renowned for its annual inundations, rich biodiversity, and central role in the culture and livelihoods of the Lozi people.
  • C. Lake Mweru
    Lake Mweru is a large freshwater lake on the border between Zambia and the Democratic Republic of the Congo, known for its rich fisheries and role as part of the upper Congo River system.
  • D. Étang de l’Or
    Étang de l’Or is a coastal lagoon in southern France near Montpellier, known for its wetlands, biodiversity, and traditional fishing activities.
  • E. Kafue Flats
    Kafue Flats is a vast floodplain and wetland ecosystem in Zambia known for its rich biodiversity, seasonal flooding, and important wildlife habitats.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe4b97081908815b77612222318 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.