Triple

T17556103
Position Surface form Disambiguated ID Type / Status
Subject Transportation Engineering Agency E427593 entity
Predicate typeOfExpertise P18508 FINISHED
Object technical transportation engineering expertise 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: technical transportation engineering expertise | Statement: [Transportation Engineering Agency, typeOfExpertise, technical transportation engineering expertise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfExpertise
Context triple: [Transportation Engineering Agency, typeOfExpertise, technical transportation engineering expertise]
  • A. skilledIn
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • B. basedOnExpertiseOf
    Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
  • C. competenceArea chosen
    Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
  • D. typeOfExperience
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • E. professionServed
    Indicates that an entity has performed work or provided services in a particular profession or occupational role.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562357b48190bde6f49df0c983c2 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.