Triple
T38354688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rad Game Tools |
E1046292
|
entity |
| Predicate | hasClientLibraryLanguage |
P81836
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [Rad Game Tools, hasClientLibraryLanguage, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientLibraryLanguage Context triple: [Rad Game Tools, hasClientLibraryLanguage, C]
-
A.
supportsLanguageClientLibrary
chosen
Indicates that an entity provides or is compatible with a client library for interacting with a specific programming language.
-
B.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
C.
hasSubstrateLanguage
Indicates a relationship where one language serves as the underlying substrate that has influenced or shaped another language.
-
D.
hasLibraries
Indicates that an entity possesses, contains, or is associated with one or more libraries.
-
E.
hasOfficialLibrary
Indicates that an entity possesses or is served by a formally recognized, authorized library.
- F. None of above.
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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.