Triple

T10305691
Position Surface form Disambiguated ID Type / Status
Subject Randolph Street E241750 entity
Predicate passesThrough P225 FINISHED
Object Loop E17325 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: Loop | Statement: [Randolph Street, passesThrough, Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop
Context triple: [Randolph Street, passesThrough, Loop]
  • A. Loop chosen
    The Loop is Chicago’s central business district and downtown core, known for its dense cluster of skyscrapers, cultural institutions, and historic elevated train system.
  • B. Loop
    Loop is a Microsoft 365 collaborative workspace app that lets teams create, share, and co-edit dynamic content blocks in real time across Microsoft’s productivity tools.
  • C. Loop
    Loop is an English alternative rock band known for its hypnotic, guitar-driven sound that helped define the late-1980s space rock and noise rock scenes.
  • D. Looper
    Looper is a 2012 science-fiction action film directed by Rian Johnson, known for its time-travel premise and starring Joseph Gordon-Levitt and Bruce Willis.
  • E. A Loop
    A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d60be1481909dc1330f150e3897 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:46 a.m.