Triple

T20262118
Position Surface form Disambiguated ID Type / Status
Subject Lake Abbe E498864 entity
Predicate near P350 FINISHED
Object Lake Afdera 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: Lake Afdera | Statement: [Lake Abbe, near, Lake Afdera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Afdera
Context triple: [Lake Abbe, near, Lake Afdera]
  • A. Lake Afdera chosen
    Lake Afdera is a hypersaline lake in Ethiopia’s Afar Depression, known for its extreme heat, below-sea-level elevation, and surrounding salt extraction activities.
  • B. Lake Ziway
    Lake Ziway is a freshwater lake in Ethiopia’s Rift Valley, known for its rich birdlife, fishing communities, and several historic island monasteries.
  • C. Lake Langano
    Lake Langano is a popular Rift Valley lake in Ethiopia known for its brownish waters, birdlife, and status as a major resort and recreation destination.
  • D. Lake Hayq
    Lake Hayq is a highland freshwater lake in northern Ethiopia, noted for its scenic setting and the historic Istifanos Monastery on one of its islands.
  • E. Lake Abaya
    Lake Abaya is a large, shallow rift valley lake in southern Ethiopia known for its reddish-brown waters and rich birdlife.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.