Triple
T1612754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LINQ |
E34648
|
entity |
| Predicate | designedForLanguage |
P9494
|
FINISHED |
| Object | F# |
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# | Statement: [LINQ, designedForLanguage, F#]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F# Context triple: [LINQ, designedForLanguage, F#]
-
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.
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.
-
C.
REPL (F# Interactive)
REPL (F# Interactive) is F#’s interactive read–eval–print loop environment that lets developers write, execute, and experiment with F# code in real time.
-
D.
OCaml
OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
-
E.
ReasonML
ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79813b2c819093bf3833db398f22 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:28 p.m.