Triple
T7750920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dara |
E175757
|
entity |
| Predicate | hasScriptLanguage |
P45018
|
FINISHED |
| Object | Persian |
—
|
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: Persian | Statement: [Dara, hasScriptLanguage, Persian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptLanguage Context triple: [Dara, hasScriptLanguage, Persian]
-
A.
hasScriptTool
Indicates that an entity uses, is associated with, or is supported by a particular scripting tool or scripting environment.
-
B.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
C.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
D.
hasScriptUsage
chosen
Indicates that one entity uses, employs, or is written in the script or writing system specified by another entity.
-
E.
hasSubstrateLanguage
Indicates a relationship where one language serves as the underlying substrate that has influenced or shaped another language.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.