Triple
T4018872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozilla |
E91230
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bugzilla |
E136520
|
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: Bugzilla | Statement: [Mozilla, notableWork, Bugzilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugzilla Context triple: [Mozilla, notableWork, Bugzilla]
-
A.
Bugzilla
chosen
Bugzilla is an open-source, web-based bug tracking and issue management system widely used by software development projects to report, track, and resolve defects.
-
B.
Debian Bug Tracking System
The Debian Bug Tracking System is the platform used by the Debian project to report, track, and manage bugs and issues in its software packages.
-
C.
Mozilla
Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
-
D.
Jira
Jira is a widely used project and issue tracking platform, especially popular among software development teams for managing tasks, bugs, and agile workflows.
-
E.
Bug
The Volkswagen Beetle, commonly called the Bug, is an iconic compact car originally designed in the 1930s that became one of the best-selling and most recognizable automobiles in history.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7cb0ec8190b7e4646a934ddb07 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.