Triple

T4020619
Position Surface form Disambiguated ID Type / Status
Subject Incorporated Engineer E91270 entity
Predicate hasCompetency P13084 FINISHED
Object engineering design 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: engineering design | Statement: [Incorporated Engineer, hasCompetency, engineering design]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCompetency
Context triple: [Incorporated Engineer, hasCompetency, engineering design]
  • A. hasCompetence chosen
    Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
  • B. competence
    Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
  • C. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • D. competenceArea
    Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
  • E. notCompetentFor
    Indicates that an entity lacks the necessary ability, qualification, or suitability to perform or handle another specified entity or task.
  • 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.