Triple
T22446332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ML language family |
E554871
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Caml |
—
|
NE NERFINISHED |
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: Caml | Statement: [ML language family, hasMember, Caml]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caml Context triple: [ML language family, hasMember, Caml]
-
A.
OCaml
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Standard ML
Standard ML is a statically typed functional programming language with type inference and a formal semantics, widely used in programming language research and teaching.
-
E.
SML
SML is the station code for Shimla railway station, a terminus of the historic Kalka–Shimla narrow-gauge mountain railway in Himachal Pradesh, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:47 p.m.