Triple
T36467440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RLISP |
E898458
|
entity |
| Predicate | primaryImplementationLanguageOf |
P102866
|
FINISHED |
| Object | REDUCE computer algebra system |
E2186152
|
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: REDUCE computer algebra system | Statement: [RLISP, primaryImplementationLanguageOf, REDUCE computer algebra system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryImplementationLanguageOf Context triple: [RLISP, primaryImplementationLanguageOf, REDUCE computer algebra system]
-
A.
languageOfImplementation
chosen
Indicates the programming language in which a given software system, component, or algorithm is implemented.
-
B.
primaryLanguageOfPrograms
Indicates that a given language is the main programming language used to implement or develop the specified programs.
-
C.
languageOfPrimaryProgramming
Indicates the programming language that is primarily used to implement or develop a given entity.
-
D.
developedPrimarilyIn
Indicates that something was mainly created, advanced, or brought into its primary form within a particular context, place, or domain, even if contributions occurred elsewhere.
-
E.
languageOfPrimaryCompilation
Indicates the programming or source language in which an entity was primarily compiled.
- F. None of above.
Provenance (4 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbc635f48190988b21749b525191 |
completed | June 23, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.