Triple

T19085880
Position Surface form Disambiguated ID Type / Status
Subject BR-163 highway E467146 entity
Predicate infrastructurePolicyTopic P17965 FINISHED
Object Brazilian logistics planning in the Amazon 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: Brazilian logistics planning in the Amazon | Statement: [BR-163 highway, infrastructurePolicyTopic, Brazilian logistics planning in the Amazon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: infrastructurePolicyTopic
Context triple: [BR-163 highway, infrastructurePolicyTopic, Brazilian logistics planning in the Amazon]
  • A. commonPolicyArea chosen
    Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
  • B. governedTopic
    Indicates that a governing entity exercises authority, control, or regulatory oversight over a particular topic, issue, or domain.
  • C. integrationPolicy
    Indicates the rules or strategy governing how separate components, systems, or processes are combined and made to work together.
  • D. advancesPolicyOf
    Indicates that one entity actively promotes, supports, or furthers the policy objectives or agenda of another entity.
  • E. supportsPolicyArea
    Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e346f57c8190a6299e09a0be9e05 completed April 20, 2026, 8:26 a.m.
PD Predicate disambiguation batch_69e4b9a604308190a3235184f9f2c056 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:04 p.m.