Triple

T23403554
Position Surface form Disambiguated ID Type / Status
Subject Lagdo Reservoir E559571 entity
Predicate locatedNear P294 FINISHED
Object Lagdo 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: Lagdo | Statement: [Lagdo Reservoir, locatedNear, Lagdo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagdo
Context triple: [Lagdo Reservoir, locatedNear, Lagdo]
  • A. Lagdo chosen
    Lagdo is a town in northern Cameroon known for its large hydroelectric dam on the Benue River and the resulting Lagdo Reservoir.
  • B. Khoros
    Khoros is the harsh, alien homeworld of the four-armed Tetramand species in the Ben 10 universe.
  • C. Khorab
    Khorab is a historic site in present-day Namibia known as the location where German colonial forces surrendered to South African troops during the South-West Africa Campaign of World War I.
  • D. Calamawy
    Calamawy is the surname of May Calamawy, an Egyptian-Palestinian actress known for her roles in television and film, including the series "Ramy" and Marvel's "Moon Knight."
  • E. Deesa
    Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e16f9881908ea4bef465e3af11 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.