Triple
T1160345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elm |
E24476
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object |
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.
|
E131758
|
NE FINISHED |
How this triple was built (4 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: OCaml | Statement: [Elm, influencedBy, OCaml]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OCaml Context triple: [Elm, influencedBy, OCaml]
-
A.
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.
-
B.
F#
F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
-
C.
coq gaulois
Coq gaulois is the French term for the Gallic rooster, a national emblem of France symbolizing courage, pride, and the French nation.
-
D.
Haskell
Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
-
E.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OCaml Triple: [Elm, influencedBy, OCaml]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OCaml Target entity description: 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.
-
A.
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.
-
B.
F#
F# is a functional-first, multi-paradigm programming language for the .NET platform, known for its strong type system and concise, expressive syntax.
-
C.
coq gaulois
Coq gaulois is the French term for the Gallic rooster, a national emblem of France symbolizing courage, pride, and the French nation.
-
D.
Haskell
Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
-
E.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
- F. None of above. chosen
Provenance (5 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ebbf80881909010e1e1e59212d4 |
completed | March 7, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69ac5f77286c81908267706202ab032f |
completed | March 7, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5fe000bc81909c1131b8c1f1db6b |
completed | March 7, 2026, 5:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.