Triple
T9898268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Syme |
E182227
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | F# language specification |
E34603
|
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: F# language specification | Statement: [Don Syme, notableWork, F# language specification]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F# language specification Context triple: [Don Syme, notableWork, F# language specification]
-
A.
F#
chosen
F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
-
B.
C# language specification
The C# language specification is the official technical document that precisely defines the syntax, semantics, and behavior of the C# programming language.
-
C.
F# Software Foundation
The F# Software Foundation is a community-driven organization that supports and promotes the F# functional-first programming language and its ecosystem.
-
D.
.NET specification
The .NET specification is the formal standard that defines the architecture, type system, and runtime behavior of the .NET platform to ensure interoperability and consistency across implementations.
-
E.
Standard ML of New Jersey
Standard ML of New Jersey is a well-known, optimizing compiler and interactive environment for the Standard ML programming language, widely used in research and teaching.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ac27d88190b8255f7e616f95c9 |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb17ed548190a2510a667dd988ca |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.