Triple
T575803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blink |
E13758
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
UR Browser
UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
|
E75516
|
NE FINISHED |
How this triple was built (4 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: UR Browser | Statement: [Blink, usedIn, UR Browser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UR Browser Context triple: [Blink, usedIn, UR Browser]
-
A.
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.
-
B.
Cent Browser
Cent Browser is a Chromium-based web browser for Windows that offers enhanced privacy, customization, and productivity features beyond the standard Chrome experience.
-
C.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
-
D.
Kinza Browser
Kinza Browser is a Japanese-developed, Chromium-based web browser that offers extensive customization options and user-centric features built on the Blink rendering engine.
-
E.
Opera Mini
Opera Mini is a lightweight mobile web browser designed to compress data and load pages quickly, especially on slower networks and lower-end devices.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UR Browser Triple: [Blink, usedIn, UR Browser]
Generated description
UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UR Browser Target entity description: UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
-
A.
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.
-
B.
Cent Browser
Cent Browser is a Chromium-based web browser for Windows that offers enhanced privacy, customization, and productivity features beyond the standard Chrome experience.
-
C.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
-
D.
Kinza Browser
Kinza Browser is a Japanese-developed, Chromium-based web browser that offers extensive customization options and user-centric features built on the Blink rendering engine.
-
E.
Opera Mini
Opera Mini is a lightweight mobile web browser designed to compress data and load pages quickly, especially on slower networks and lower-end devices.
- F. None of above. chosen
Provenance (5 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a523853a648190bdf48e8148fa642b |
completed | March 2, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69a5240e2fa8819099d13bf88b1eeddc |
completed | March 2, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5246681e081909d4991614a5ff6d7 |
completed | March 2, 2026, 5:47 a.m. |
Created at: March 1, 2026, 7:33 p.m.