Triple
T3714789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shota Rustaveli (symbolic memorial) |
E81499
|
entity |
| Predicate | languageOfHonoredFigure |
P51371
|
FINISHED |
| Object | Georgian |
—
|
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 | Statement: [Shota Rustaveli (symbolic memorial), languageOfHonoredFigure, Georgian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfHonoredFigure Context triple: [Shota Rustaveli (symbolic memorial), languageOfHonoredFigure, Georgian]
-
A.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
B.
languageOfDynasty
Indicates the language or languages predominantly used or associated with a particular dynasty.
-
C.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
languageOfFounders
Indicates the language or languages spoken or used by the founders of an 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:33 p.m.