Triple

T3000948
Position Surface form Disambiguated ID Type / Status
Subject Maasai Mara National Reserve E81183 entity
Predicate hasRiver P165 FINISHED
Object Mara River E376213 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: Mara River | Statement: [Maasai Mara National Reserve, hasRiver, Mara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara River
Context triple: [Maasai Mara National Reserve, hasRiver, Mara River]
  • A. Mara River chosen
    The Mara River is a major waterway in East Africa that flows through Kenya and Tanzania, supporting rich wildlife ecosystems and the famed wildebeest migration.
  • B. Bandia River
    The Bandia River is a lesser-known river in India that serves as a tributary of the Indravati River within the Godavari basin.
  • C. Sumène River
    The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
  • D. Úpa River
    The Úpa River is a river in the northeastern Czech Republic that flows from the Krkonoše (Giant) Mountains through towns such as Trutnov before joining the Labe (Elbe) River.
  • E. Ausa River
    The Ausa River is a small watercourse in the Emilia-Romagna region of Italy that flows through the city of Rimini before reaching the Adriatic Sea.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488165eb48190ae5b080862919caf completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 2:59 p.m.