Triple
T12515894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gpgconf |
E299189
|
entity |
| Predicate | canBeScripted |
P105398
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [gpgconf, canBeScripted, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeScripted Context triple: [gpgconf, canBeScripted, yes]
-
A.
isScriptedInPart
Indicates that an entity is partially written, authored, or scripted in the specified language or scripting system, but not entirely.
-
B.
hasNotableScript
Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
-
C.
hasScriptTool
Indicates that an entity uses, is associated with, or is supported by a particular scripting tool or scripting environment.
-
D.
hasEditorScripting
Indicates that an entity provides or supports scripting capabilities specifically for editing or editor-related functionality.
-
E.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.