Triple
T22446580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ocamlc |
E554876
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
ocamllex
ocamllex is the standard lexical analyzer generator for the OCaml programming language, used to produce efficient lexers from regular-expression-based specifications.
|
E1536611
|
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: ocamllex | Statement: [ocamlc, relatedTo, ocamllex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ocamllex Context triple: [ocamlc, relatedTo, ocamllex]
-
A.
GNU Flex
GNU Flex is a widely used open-source lexical analyzer generator that produces C-based scanners for tokenizing text according to user-defined patterns.
-
B.
Yacc
Yacc is a classic Unix parser generator tool that converts a formal grammar specification into a parser for programming languages and data formats.
-
C.
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.
-
D.
ocamlc
ocamlc is the bytecode compiler for the OCaml programming language, translating OCaml source code into portable bytecode executables.
-
E.
JavaCUP
JavaCUP is a parser generator for Java that creates LALR parsers from grammar specifications, commonly used as an alternative to tools like JavaCC.
- 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: ocamllex Triple: [ocamlc, relatedTo, ocamllex]
Generated description
ocamllex is the standard lexical analyzer generator for the OCaml programming language, used to produce efficient lexers from regular-expression-based specifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ocamllex Target entity description: ocamllex is the standard lexical analyzer generator for the OCaml programming language, used to produce efficient lexers from regular-expression-based specifications.
-
A.
GNU Flex
GNU Flex is a widely used open-source lexical analyzer generator that produces C-based scanners for tokenizing text according to user-defined patterns.
-
B.
Yacc
Yacc is a classic Unix parser generator tool that converts a formal grammar specification into a parser for programming languages and data formats.
-
C.
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.
-
D.
ocamlc
ocamlc is the bytecode compiler for the OCaml programming language, translating OCaml source code into portable bytecode executables.
-
E.
JavaCUP
JavaCUP is a parser generator for Java that creates LALR parsers from grammar specifications, commonly used as an alternative to tools like JavaCC.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c7640fc8190a2dd1643a7c2a5b0 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0cd3f7bc8190bdc1e241ea1c642f |
completed | May 18, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d40e0c8819083a430e30dba1848 |
completed | May 18, 2026, 12:59 p.m. |
Created at: April 16, 2026, 8:47 p.m.