Triple
T19236556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Georgia |
E481012
|
entity |
| Predicate | scriptOfOfficialName |
P69131
|
FINISHED |
| Object | Georgian script |
—
|
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: Georgian script | Statement: [coat of arms of Georgia, scriptOfOfficialName, Georgian script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOfOfficialName Context triple: [coat of arms of Georgia, scriptOfOfficialName, Georgian script]
-
A.
scriptOfOfficialNames
chosen
Indicates the writing system or script in which the official names of entities are expressed.
-
B.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
C.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
D.
formerOfficialNameOf
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
E.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faed9ef0819085035cc17d1546e5 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.