Triple
T264979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Explorer |
E5702
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | IE |
E5702
|
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: IE | Statement: [Internet Explorer, shortName, IE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IE Context triple: [Internet Explorer, shortName, IE]
-
A.
IE
IE is the two-letter ISO 3166-1 alpha-2 country code assigned to Ireland for international standardization and identification.
-
B.
Internet Explorer
chosen
Internet Explorer is a discontinued web browser that was once the dominant way to access the web on Windows computers.
-
C.
Microsoft Edge
Microsoft Edge is a web browser developed by Microsoft that serves as the default browser for Windows and supports modern web standards and technologies.
-
D.
Windows
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
E.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389ae45648190966804664bf4f861 |
completed | March 1, 2026, 12:34 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.