Triple

T2916341
Position Surface form Disambiguated ID Type / Status
Subject Colombian Basin E78615 entity
Predicate hasSedimentaryCover P18668 FINISHED
Object thick pelagic sediments 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: thick pelagic sediments | Statement: [Colombian Basin, hasSedimentaryCover, thick pelagic sediments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSedimentaryCover
Context triple: [Colombian Basin, hasSedimentaryCover, thick pelagic sediments]
  • A. hasSedimentsThat chosen
    Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
  • B. hasStratigraphicFeature
    Indicates a relationship in which a geological unit, site, or context contains, exhibits, or is associated with a particular stratigraphic feature (such as a layer, horizon, or boundary) within its stratigraphic sequence.
  • C. 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.
  • D. hasCrustalThickness
    Indicates the relationship in which an object or region possesses a specified thickness of its crust.
  • E. hasGeologicalEvidenceOf
    Indicates that there is geological data or features supporting the existence, occurrence, or impact of a specified phenomenon or event.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97fd89d88190bc7db4b39058ae3a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9603ddd88190b8bf91bc7517cc21 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:53 p.m.