Triple

T25342408
Position Surface form Disambiguated ID Type / Status
Subject Lake Erie south shore E635450 entity
Predicate hasWaterBodyProperty P58792 FINISHED
Object warmest waters among the Great Lakes 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: warmest waters among the Great Lakes | Statement: [Lake Erie south shore, hasWaterBodyProperty, warmest waters among the Great Lakes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWaterBodyProperty
Context triple: [Lake Erie south shore, hasWaterBodyProperty, warmest waters among the Great Lakes]
  • A. hasWaterBodyCharacteristic chosen
    Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
  • B. hasBodyOfWaterType
    Indicates that a body of water is classified as being of a particular type or category (such as lake, river, ocean, etc.).
  • C. hasAssociatedWaterBody
    Indicates that one entity is linked to, or occurs in connection with, a specific body of water such as a river, lake, or sea.
  • D. hasAreaWaterBody
    Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
  • E. hasWaterBodyForm
    Indicates that an entity is associated with or characterized by a specific form or type of water body (e.g., lake, river, sea).
  • 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_69e75a99bd6481909476115b35b9a8e4 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 21, 2026, 1:32 p.m.