Triple

T9312348
Position Surface form Disambiguated ID Type / Status
Subject BoringSSL E224034 entity
Predicate usedBy P260 FINISHED
Object Google Chrome E2482 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: Google Chrome | Statement: [BoringSSL, usedBy, Google Chrome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Chrome
Context triple: [BoringSSL, usedBy, Google Chrome]
  • A. Google Chrome chosen
    Google Chrome is a widely used cross-platform web browser developed by Google, known for its speed, simplicity, and integration with Google services.
  • B. Yandex Browser
    Yandex Browser is a web browser developed by the Russian company Yandex that emphasizes speed, security, and integration with Yandex’s online services.
  • C. Chromium web browser
    Chromium web browser is an open-source, multi-platform web browser that serves as the foundation for Google Chrome and many other Chromium-based browsers.
  • D. 360 Secure Browser
    360 Secure Browser is a Chinese web browser developed by Qihoo 360, known for its built-in security features and dual-engine rendering support.
  • E. Opera (Chromium-based)
    Opera (Chromium-based) is a modern web browser built on Google’s Chromium engine, offering features like a built-in ad blocker, free VPN, and integrated messaging apps.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c797640c8190be003e321faf3b86 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.