Triple
T135418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian language |
E2736
|
entity |
| Predicate | changedOfficialScriptIn |
P4435
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Romanian language, changedOfficialScriptIn, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedOfficialScriptIn Context triple: [Romanian language, changedOfficialScriptIn, 19th century]
-
A.
replacedWritingSystem
chosen
Indicates that one writing system has been superseded or taken the place of another as the primary script used for a language or context.
-
B.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
C.
officialScriptOf
Indicates that one writing system is formally designated as the standard or legally recognized script used for a particular language, region, or entity.
-
D.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
-
E.
languageShift
Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25651b9048190a6277b7fec98c1ea |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.