Triple

T4020596
Position Surface form Disambiguated ID Type / Status
Subject Chartered Engineer E91269 entity
Predicate mayBeRecognizedThrough P27854 FINISHED
Object mutual recognition agreements between countries 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: mutual recognition agreements between countries | Statement: [Chartered Engineer, mayBeRecognizedThrough, mutual recognition agreements between countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeRecognizedThrough
Context triple: [Chartered Engineer, mayBeRecognizedThrough, mutual recognition agreements between countries]
  • A. areRecognizedBy
    Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
  • B. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • C. canRecognize
    Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
  • D. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • E. recognizedThrough chosen
    Indicates that something becomes known, identified, or acknowledged by means of a particular method, medium, or process.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.