Triple

T5748243
Position Surface form Disambiguated ID Type / Status
Subject Dueodde E126784 entity
Predicate hasSandCharacteristic P18668 FINISHED
Object very fine grain size 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: very fine grain size | Statement: [Dueodde, hasSandCharacteristic, very fine grain size]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSandCharacteristic
Context triple: [Dueodde, hasSandCharacteristic, very fine grain size]
  • A. hasSandColor
    Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
  • B. hasSedimentsThat chosen
    Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
  • C. hasMineral
    Indicates that one entity contains, includes, or is composed of a specified mineral.
  • D. hasSedimentLoad
    Indicates that one entity (typically a water body or flow) carries or transports a certain amount or type of sediment associated with another entity.
  • E. hasRidges
    Indicates that one entity possesses raised, linear or patterned ridges on its surface or structure in relation to another entity or context.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b52663c8190ab44258468d4296d completed March 22, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69c021ca61688190875bd6107161c284 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:48 p.m.