Triple

T8328891
Position Surface form Disambiguated ID Type / Status
Subject European company E195025 entity
Predicate hasOrganStructure P82123 FINISHED
Object two-tier system 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: two-tier system | Statement: [European company, hasOrganStructure, two-tier system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrganStructure
Context triple: [European company, hasOrganStructure, two-tier system]
  • A. hasOrganSystem
    Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
  • B. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • C. имеетОрган
    Indicates that one entity possesses or contains a specific organ as a part of its body.
  • D. mainOrganOf
    Indicates that one entity is the primary or central organ responsible for the core functions of another entity (such as an organism or system).
  • E. hasMainOrgan
    Indicates that an entity possesses a primary or principal organ that plays a central role in its biological or functional system.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69cb70c3231c81909e3d463192c9de22 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76d823b08190a54fadb50660cda5 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:56 p.m.