Triple

T4614153
Position Surface form Disambiguated ID Type / Status
Subject Match Group E100826 entity
Predicate operatedPlatform P1292 FINISHED
Object Tinder E100825 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: Tinder | Statement: [Match Group, operatedPlatform, Tinder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinder
Context triple: [Match Group, operatedPlatform, Tinder]
  • A. Tinder (historically, via Match Group prior to spin-off) chosen
    Tinder (historically, via Match Group prior to its spin-off) is a leading location-based dating and social discovery app best known for popularizing the swipe-based matching interface.
  • B. Burbn
    Burbn was a location-based photo-sharing startup that served as the precursor to and foundation for what became Instagram.
  • C. Snapchat
    Snapchat is a multimedia messaging and social media app known for its disappearing photos and videos, creative filters, and Stories feature popular among younger users.
  • D. Flurry
    Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
  • E. Friendster
    Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
  • 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: operatedPlatform
Context triple: [Match Group, operatedPlatform, Tinder]
  • A. platforms chosen
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • B. typicalPlatform
    Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
  • C. operatedAmong
    Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
  • D. platformsDevelopedFor
    Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
  • E. operatedAs
    Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c2678c8190ab8f9420e866521d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69bd522e2d5c8190937d0b5574f78f99 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.