Triple
T8414429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU userland |
E198698
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object | GNU Flex |
E284605
|
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: GNU Flex | Statement: [GNU userland, includesComponent, GNU Flex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU Flex Context triple: [GNU userland, includesComponent, GNU Flex]
-
A.
GNU Flex
chosen
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.
GNU Bison
GNU Bison is a widely used parser generator that converts context-free grammars into C-based parsers, commonly employed in compilers and interpreters within the GNU ecosystem.
-
C.
FLEX
FLEX is a flexible, demand-responsive bus service operated by the North County Transit District in northern San Diego County, California.
-
D.
Backus–Naur Form
Backus–Naur Form is a formal notation used to define the syntax of programming languages and other formal grammars in a precise, structured way.
-
E.
Van Wijngaarden grammars
Van Wijngaarden grammars are a highly expressive formal grammar formalism, introduced for defining complex programming language syntax and semantics, notably used in the specification of ALGOL 68.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.