Triple

T14736347
Position Surface form Disambiguated ID Type / Status
Subject Siberian Federal District E346218 entity
Predicate containsLake P1025 FINISHED
Object Lake Baikal E56001 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 Baikal | Statement: [Siberian Federal District, containsLake, Lake Baikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Baikal
Context triple: [Siberian Federal District, containsLake, Lake Baikal]
  • A. Lake Baikal chosen
    Lake Baikal is a massive rift lake in Siberia renowned as the world's deepest and oldest freshwater lake, containing about one-fifth of the planet's unfrozen surface fresh water.
  • B. Lake Kanasatka
    Lake Kanasatka is a small, scenic freshwater lake in central New Hampshire known for its quiet, family-oriented camps, cottages, and outdoor recreation.
  • C. Kronotskoye Lake
    Kronotskoye Lake is a remote volcanic crater lake in Russia’s Kamchatka Peninsula, renowned for its pristine wilderness, rich wildlife, and dramatic surrounding landscapes.
  • D. Lake Beloye
    Lake Beloye is a large freshwater lake in northwestern Russia known for its role in regional waterways and its location within Vologda Oblast.
  • E. Lake Abashiri
    Lake Abashiri is a brackish lake in eastern Hokkaido, Japan, known for its seasonal drift ice and rich wetland ecosystems that support diverse birdlife.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.