Triple
T24174793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 8859-16 |
E599248
|
entity |
| Predicate | supportsScriptVariant |
P155585
|
FINISHED |
| Object | extended Latin characters |
—
|
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: extended Latin characters | Statement: [ISO/IEC 8859-16, supportsScriptVariant, extended Latin characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsScriptVariant Context triple: [ISO/IEC 8859-16, supportsScriptVariant, extended Latin characters]
-
A.
usesScriptingLanguage
Indicates that an entity employs a scripting language to perform its operations, configuration, or automation tasks.
-
B.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
C.
hasScriptDevelopmentSupportFrom
Indicates that an entity receives assistance, resources, or backing specifically for the development of its script from another entity.
-
D.
supportsModelVariant
Indicates that one entity is capable of operating with, being compatible with, or otherwise accommodating a specific variant of a model.
-
E.
scriptVariantLanguage
Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:33 p.m.