Triple

T725245
Position Surface form Disambiguated ID Type / Status
Subject Rano Aroi E14710 entity
Predicate hasSedimentsThat P18668 FINISHED
Object preserve environmental records 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: preserve environmental records | Statement: [Rano Aroi, hasSedimentsThat, preserve environmental records]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSedimentsThat
Context triple: [Rano Aroi, hasSedimentsThat, preserve environmental records]
  • A. 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.
  • B. typeOfSedimentation
    Indicates the specific kind or process of sediment deposition or settling that characterizes how sediment accumulates in a given context.
  • C. sedimentSource
    Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
  • D. hasSoil
    Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
  • E. hasSandColor
    Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
  • F. None of above. chosen

Provenance (4 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4f700cc81908c6de3eedf68433c completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a55a26e081908134ee93faaf7c40 completed March 1, 2026, 8:45 p.m.
Created at: March 1, 2026, 7:37 p.m.