Triple

T38239344
Position Surface form Disambiguated ID Type / Status
Subject Mitú Airport E1013714 entity
Predicate isOnlyPracticalAccessModeFor P190197 FINISHED
Object many settlements in Vaupés Department 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: many settlements in Vaupés Department | Statement: [Mitú Airport, isOnlyPracticalAccessModeFor, many settlements in Vaupés Department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOnlyPracticalAccessModeFor
Context triple: [Mitú Airport, isOnlyPracticalAccessModeFor, many settlements in Vaupés Department]
  • A. isOnlyLegalAccessTo
    Indicates that one entity constitutes the sole lawful means or method by which another entity may be accessed.
  • B. isOnlyRegularAccessBy
    Indicates that an entity is exclusively accessed in a regular (non-privileged or non-exceptional) manner by a specific agent or process.
  • C. hasAccessMode
    Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
  • D. isAccessibleWithout
    Indicates that one entity can be reached, used, or entered without requiring the presence, use, or involvement of another specified entity.
  • E. hasAccessModel
    Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or 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_69f76dd72a248190a5fe18db2bd1eb15 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc3321ef081908023590ba70ba0cf completed May 7, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69fcb0fdc6e08190b05e894c59481a0d completed May 7, 2026, 3:34 p.m.
PDg Predicate description generation batch_69fcc330b4288190858b49d986160706 completed May 7, 2026, 4:52 p.m.
Created at: May 3, 2026, 4:30 p.m.