Triple

T2545837
Position Surface form Disambiguated ID Type / Status
Subject Loop transportation system E57898 entity
Predicate hasMarketingName P24366 FINISHED
Object Loop E56712 NE FINISHED

How this triple was built (3 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: [Loop transportation system, hasMarketingName, Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop
Context triple: [Loop transportation system, hasMarketingName, Loop]
  • A. Loop
    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 chosen
    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. Loopt
    Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarketingName
Context triple: [Loop transportation system, hasMarketingName, Loop]
  • A. hasMarketingCategory
    Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
  • B. originalMarketingName
    Indicates the original marketing or brand name under which an entity (such as a product or service) was first promoted or sold.
  • C. marketingNameOf chosen
    Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
  • D. hasMarketingRole
    Indicates that an entity holds a position or responsibility related to marketing activities within an organization.
  • E. hasTradeName
    Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
  • F. None of above.

Provenance (4 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c285288190b41fc0188879623a completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0a884c81909d7f537a79ccb435 completed March 9, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.