Triple

T7972759
Position Surface form Disambiguated ID Type / Status
Subject GE Genesis series E185366 entity
Predicate operator P179 FINISHED
Object CDOT E399330 NE 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: CDOT | Statement: [GE Genesis series, operator, CDOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDOT
Context triple: [GE Genesis series, operator, CDOT]
  • A. CDOT chosen
    CDOT is the municipal agency responsible for planning, building, and maintaining Chicago’s transportation infrastructure, including streets, sidewalks, and traffic systems.
  • B. SecDOT
    SecDOT is the commonly used abbreviation for the United States Secretary of Transportation, the Cabinet-level official who oversees federal transportation policy and programs.
  • C. CTDOT
    CTDOT is the state agency responsible for planning, building, and maintaining Connecticut’s transportation infrastructure, including highways, public transit, rail, and bridges.
  • D. MDOT
    MDOT is the state agency responsible for planning, building, and maintaining Mississippi’s transportation infrastructure, including highways and related systems.
  • E. ODOT
    ODOT is the state agency responsible for planning, constructing, and maintaining Oklahoma’s highway and transportation infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd580dc819084be5b7963b6029c completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0b207ec8190a1a78e77a6bdb15e completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.