Triple

T31552992
Position Surface form Disambiguated ID Type / Status
Subject Sewellia E805053 entity
Predicate waterParameterPreference P27141 FINISHED
Object well-oxygenated water 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: well-oxygenated water | Statement: [Sewellia, waterParameterPreference, well-oxygenated water]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterParameterPreference
Context triple: [Sewellia, waterParameterPreference, well-oxygenated water]
  • A. prefersWater
    Indicates a relationship where an entity favors or chooses water over other available options.
  • B. waterType
    Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
  • C. waterCondition chosen
    Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
  • D. hasWaterCharacteristics
    Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
  • E. waterPH
    Indicates the acidity or alkalinity level (pH value) of a given body or sample of water.
  • 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_69f348d22e088190ad555d5bd42f9da0 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: April 30, 2026, 10:11 p.m.