Triple
T9932336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VeriSign, Inc. |
E192675
|
entity |
| Predicate | managesTopLevelDomain |
P91208
|
FINISHED |
| Object | .net |
E237037
|
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: .net | Statement: [VeriSign, Inc., managesTopLevelDomain, .net]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .net Context triple: [VeriSign, Inc., managesTopLevelDomain, .net]
-
A.
.net
chosen
.net is a widely used generic top-level domain on the internet, commonly associated with network services and infrastructure-related websites.
-
B.
.NET languages
.NET languages are a family of programming languages, such as C#, F#, and Visual Basic .NET, designed to run on the Microsoft .NET platform and share a common runtime and libraries.
-
C.
.NET Framework
The .NET Framework is a Windows-based software development platform and runtime environment that provides a large class library and supports multiple programming languages for building and running applications.
-
D.
NET
NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
-
E.
NET
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b7897081909b28189aa57af250 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3000b21088190aa3ebb2ccbce9a6e |
completed | April 6, 2026, 12:36 a.m. |
Created at: March 30, 2026, 8:43 p.m.