Triple

T22362062
Position Surface form Disambiguated ID Type / Status
Subject MDOT E552801 entity
Predicate abbreviation P43 FINISHED
Object MDOT NE NERFINISHED

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: MDOT | Statement: [MDOT, abbreviation, MDOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDOT
Context triple: [MDOT, abbreviation, MDOT]
  • A. MDOT
    MDOT is the Maryland Department of Transportation, the state agency responsible for planning, building, operating, and maintaining Maryland’s transportation systems.
  • B. MDOT
    MDOT is the state agency responsible for planning, building, and maintaining Mississippi’s transportation infrastructure, including highways and related systems.
  • C. Michigan Department of Transportation
    The Michigan Department of Transportation is the state government agency responsible for planning, building, and maintaining Michigan’s transportation infrastructure, including its highways, bridges, and public transit systems.
  • D. IDOT
    IDOT is the state agency responsible for planning, building, and maintaining Iowa’s transportation systems, including highways and public transit.
  • E. IDOT
    IDOT is the state agency responsible for planning, building, and maintaining Illinois’s transportation systems, including highways, public transit, rail, and aviation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d44a908190b16e4cfdf4591b10 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.