Triple

T3419483
Position Surface form Disambiguated ID Type / Status
Subject WhatsApp E72083 entity
Predicate developer P73 FINISHED
Object WhatsApp Inc. E72083 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: WhatsApp Inc. | Statement: [WhatsApp, developer, WhatsApp Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WhatsApp Inc.
Context triple: [WhatsApp, developer, WhatsApp Inc.]
  • A. WhatsApp chosen
    WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
  • B. WeChat
    WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
  • C. BlackBerry Messenger
    BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
  • D. 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.
  • E. Google Duo
    Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94d6808819080997df30119e71e completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354701e908190a8a7f14ae578fa5d completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.