Triple

T18643778
Position Surface form Disambiguated ID Type / Status
Subject Grindr E455752 entity
Predicate supportsCommunicationMode P112150 FINISHED
Object one-to-one chat LITERAL 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: one-to-one chat | Statement: [Grindr, supportsCommunicationMode, one-to-one chat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommunicationMode
Context triple: [Grindr, supportsCommunicationMode, one-to-one chat]
  • A. communicationMode
    Indicates the method or channel through which communication between entities is carried out.
  • B. communicationCapability
    Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
  • C. supportedMode
    Indicates that a system, device, or component is capable of operating in or handling a particular mode.
  • D. hasCommunicationType chosen
    Indicates that one entity uses, supports, or is associated with a particular form or mode of communication.
  • E. enablesCommunicationWith
    Indicates that one entity provides the means or capability for another entity to communicate with a specified party or system.
  • F. None of above.

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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
PD Predicate disambiguation batch_69e478d85864819093cbad5ed9b54878 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:47 a.m.