Triple
T1397104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IN-LD |
E30690
|
entity |
| Predicate | codeElementLanguage |
P24892
|
FINISHED |
| Object | Latin script |
—
|
LITERAL 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: Latin script | Statement: [IN-LD, codeElementLanguage, Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeElementLanguage Context triple: [IN-LD, codeElementLanguage, Latin script]
-
A.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
B.
languageFeature
Indicates that one entity is a characteristic, property, or capability of a language associated with the other entity.
-
C.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
D.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
-
E.
languageOfProgramming
chosen
Indicates that one entity is a programming language used to implement, develop, or script the other entity.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3817320819093067b1444d70b74 |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.