Triple

T409096
Position Surface form Disambiguated ID Type / Status
Subject Antarctic policy of Chile E9446 entity
Predicate supportsInfrastructure P11065 FINISHED
Object Chilean Antarctic research stations 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: Chilean Antarctic research stations | Statement: [Antarctic policy of Chile, supportsInfrastructure, Chilean Antarctic research stations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsInfrastructure
Context triple: [Antarctic policy of Chile, supportsInfrastructure, Chilean Antarctic research stations]
  • A. usesInfrastructure
    Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
  • B. support
    Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
  • C. supportBase
    Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
  • D. hasInfrastructureType
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • E. supportsTheory
    Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecc098c4819088d127c5ea55ced9 completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e971a3a481909e6b075f25dd234a completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ea4545608190898436c72e10f39d completed Feb. 28, 2026, 1:14 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.