Triple

T15469392
Position Surface form Disambiguated ID Type / Status
Subject Inner Loop E372116 entity
Predicate connectsWith P37 FINISHED
Object Outer Loop E154264 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: Outer Loop | Statement: [Inner Loop, connectsWith, Outer Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outer Loop
Context triple: [Inner Loop, connectsWith, Outer Loop]
  • A. Outer Loop chosen
    Outer Loop is the counterclockwise carriageway of the Capital Beltway (Interstate 495) encircling the Washington, D.C. metropolitan area.
  • B. Inner Loop
    Inner Loop is a downtown Miami Metromover route that circulates through the city’s central business district on an automated people mover system.
  • C. Inner Loop
    Inner Loop is the clockwise-traveling elevated rail circuit in downtown Chicago’s Loop that serves multiple Chicago Transit Authority train lines.
  • D. Inner Loop
    Inner Loop is the clockwise-traveling set of lanes on the Capital Beltway (Interstate 495) encircling the Washington, D.C. metropolitan area.
  • E. Loop 1
    Loop 1 is a major north–south freeway in Austin, Texas, commonly known as the Mopac Expressway.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.