Triple
T11596915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR-O08 |
E275026
|
entity |
| Predicate | languageOfNotation |
P100524
|
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: [JR-O08, languageOfNotation, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNotation Context triple: [JR-O08, languageOfNotation, English]
-
A.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
B.
languageNote
Indicates a note or comment providing additional information or clarification about the language used or associated with an entity or resource.
-
C.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
D.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
E.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
- F. None of above. chosen
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.