Triple

T818517
Position Surface form Disambiguated ID Type / Status
Subject Orange Line (CTA) E17700 entity
Predicate terminus P388 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: [Orange Line (CTA), terminus, Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop
Context triple: [Orange Line (CTA), terminus, 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. 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.
  • D. 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.
  • E. Rondo
    Rondo is a surname most prominently associated with Rajon Rondo, an American professional basketball player and NBA champion known for his playmaking and defensive skills.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8f639081909690d1ef4c98680e completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.