Triple

T32271557
Position Surface form Disambiguated ID Type / Status
Subject North Carolina Turnpike Authority E824425 entity
Predicate hasMissionStatement P6693 FINISHED
Object to deliver and operate safe, reliable toll facilities that improve mobility and support economic growth in North Carolina LITERAL FINISHED

How this triple was built (1 step)

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: to deliver and operate safe, reliable toll facilities that improve mobility and support economic growth in North Carolina | Statement: [North Carolina Turnpike Authority, hasMissionStatement, to deliver and operate safe, reliable toll facilities that improve mobility and support economic growth in North Carolina]

Provenance (2 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_69f3490e73588190915f282edd105772 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc89010c8190982399d265f171ac completed May 3, 2026, 3:10 a.m.
Created at: May 1, 2026, 12:42 a.m.