Triple

T8434555
Position Surface form Disambiguated ID Type / Status
Subject Tis Issat E199193 entity
Predicate locatedNear P294 FINISHED
Object Lake Tana E39450 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: Lake Tana | Statement: [Tis Issat, locatedNear, Lake Tana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Tana
Context triple: [Tis Issat, locatedNear, Lake Tana]
  • A. Lake Tana chosen
    Lake Tana is Ethiopia’s largest lake and the primary source of the Blue Nile, renowned for its island monasteries and ecological importance in the Ethiopian Highlands.
  • B. Lake Timsah
    Lake Timsah is a saltwater lake in northeastern Egypt that forms part of the Suez Canal route and borders the city of Ismailia.
  • C. Lake Qarun
    Lake Qarun is a saline lake in Egypt’s Faiyum Depression, known for its ancient history, rich biodiversity, and importance as a protected wetland and bird habitat.
  • D. Shudu Lake
    Shudu Lake is a high-altitude alpine lake in Yunnan, China, renowned for its clear waters, surrounding meadows and forests, and rich biodiversity within Pudacuo National Park.
  • E. Lake Turkana
    Lake Turkana is a large, saline lake in Kenya’s arid north, renowned for its striking turquoise waters, rich biodiversity, and significant archaeological sites along its shores.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a905ac8190b1015e1da9b16938 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399e8efc8190ad6fa8a6cf91797c completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.