Triple

T60683
Position Surface form Disambiguated ID Type / Status
Subject Lake Superior E1205 entity
Predicate isWorldRankByVolume P733 FINISHED
Object third-largest freshwater lake by volume LITERAL 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: third-largest freshwater lake by volume | Statement: [Lake Superior, isWorldRankByVolume, third-largest freshwater lake by volume]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isWorldRankByVolume
Context triple: [Lake Superior, isWorldRankByVolume, third-largest freshwater lake by volume]
  • A. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • B. globalRanking chosen
    Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
  • C. depthRank
    Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
  • D. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • E. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • F. None of above.

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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a251a1b8ac8190b44be4c3c41e5681 completed Feb. 28, 2026, 2:23 a.m.
PD Predicate disambiguation batch_69a24ea0bec48190b2af1fb287e9e692 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.