Triple

T24529958
Position Surface form Disambiguated ID Type / Status
Subject Argentine Basin E606773 entity
Predicate hasPressureCondition P46228 FINISHED
Object high hydrostatic pressure environment 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: high hydrostatic pressure environment | Statement: [Argentine Basin, hasPressureCondition, high hydrostatic pressure environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPressureCondition
Context triple: [Argentine Basin, hasPressureCondition, high hydrostatic pressure environment]
  • A. hasHumanPressure
    Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
  • B. hasPressureSphere chosen
    Indicates a relationship where an entity possesses or is associated with a defined region or volume characterized by a specific pressure condition.
  • C. hasApproximatePressure
    Indicates that one entity has a pressure value that is approximately equal to the pressure value associated with another entity or reference.
  • D. hasShiftPressureFrom
    Indicates that one entity experiences or is subjected to shift-related pressure originating from another entity.
  • E. hasGroundPressure
    Indicates that an entity exerts a specific amount of pressure on the ground or surface it is in contact with.
  • 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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:25 a.m.