Triple
T20099485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | უშბა |
E496494
|
entity |
| Predicate | inScript |
P103921
|
FINISHED |
| Object | ქართული ანბანი |
—
|
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: ქართული ანბანი | Statement: [უშბა, inScript, ქართული ანბანი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inScript Context triple: [უშბა, inScript, ქართული ანბანი]
-
A.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
B.
scriptInventor
Indicates that one entity is the creator or originator of a particular writing system or script used by another entity.
-
C.
scriptText
Indicates that one entity contains or represents the textual content of a script associated with another entity.
-
D.
textScript
chosen
Indicates the writing system or script in which a given piece of text is expressed.
-
E.
isScriptedInPart
Indicates that an entity is partially written, authored, or scripted in the specified language or scripting system, but not entirely.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:26 p.m.