Triple
T6964324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAW |
E161448
|
entity |
| Predicate | languageOfCodeContext |
P18654
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [SAW, languageOfCodeContext, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCodeContext Context triple: [SAW, languageOfCodeContext, English]
-
A.
languageOfCode
chosen
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
B.
languageOfProgramming
Indicates that one entity is a programming language used to implement, develop, or script the other entity.
-
C.
languagesUsed
Indicates that one entity uses, employs, or is expressed in one or more languages associated with the other entity.
-
D.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
-
E.
languageName
Indicates the specific name assigned to a language in the relationship.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf2b7bc8190a3e73f3b24f0352b |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.