Triple

T9241432
Position Surface form Disambiguated ID Type / Status
Subject Mabuhay Miles E222066 entity
Predicate hasMobileAccess P48291 FINISHED
Object yes — 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: yes | Statement: [Mabuhay Miles, hasMobileAccess, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMobileAccess
Context triple: [Mabuhay Miles, hasMobileAccess, yes]
  • A. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • B. allowsMobileReception chosen
    Indicates that one entity provides the conditions or infrastructure necessary for another entity to receive mobile (cellular) network service.
  • C. hasCellularComponent
    Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
  • D. hasMob
    Indicates that an entity possesses, controls, or is associated with a particular mob or group of mobile agents.
  • E. hasBridgeAccess
    Indicates that an entity is permitted to enter or use a specific bridge or bridge-controlled area.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ea9d90819096f9ca5321dffd56 completed April 1, 2026, 11:39 a.m.
PD Predicate disambiguation batch_69cc7a4765648190aa9445c4a22dc471 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:30 p.m.