Triple

T1668733
Position Surface form Disambiguated ID Type / Status
Subject SQLite E36073 entity
Predicate usedBy P260 FINISHED
Object Firefox E24810 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: Firefox | Statement: [SQLite, usedBy, Firefox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firefox
Context triple: [SQLite, usedBy, Firefox]
  • A. Mozilla Firefox chosen
    Mozilla Firefox is a free, open-source web browser developed by Mozilla, known for its strong privacy features, customizability, and support for open web standards.
  • B. Mozilla
    Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
  • C. Mozilla SeaMonkey
    Mozilla SeaMonkey is an all-in-one internet application suite that includes a web browser, email and newsgroup client, HTML editor, and other tools, continuing the legacy of the classic Mozilla Application Suite.
  • D. Maxthon (legacy versions)
    Maxthon (legacy versions) is an earlier generation of the Maxthon web browser that was built around Microsoft’s Internet Explorer engine and offered additional features like tabbed browsing and extensive customization.
  • E. Torch Browser
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adf3d3c81909233e574e79b82a2 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683207b08190a86c266aaece4e98 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.