Triple

T20094167
Position Surface form Disambiguated ID Type / Status
Subject State Highway 45 (Colorado) E496353 entity
Predicate alsoKnownAs P39 FINISHED
Object SH 45 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: SH 45 | Statement: [State Highway 45 (Colorado), alsoKnownAs, SH 45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SH 45
Context triple: [State Highway 45 (Colorado), alsoKnownAs, SH 45]
  • A. SH 45 chosen
    SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
  • B. SH 44
    SH 44 is a state highway in Colorado that serves as a regional connector route within the Denver metropolitan area.
  • C. SH 470
    SH 470 is a state highway in the Denver metropolitan area of Colorado that serves as a major beltway route around the city’s southwestern suburbs.
  • D. SH 34
    SH 34 is a Texas state highway that runs generally north–south across eastern Texas, connecting several small towns and regional routes.
  • E. SH 144
    SH 144 is a Texas state highway that runs through north-central Texas, connecting the city of Glen Rose to the area near Granbury.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666a7a94819080ebabfba9762f97 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:23 p.m.