Triple
T38324478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | შოთა რუსთაველი |
E1036744
|
entity |
| Predicate | mainWorkTitleInGeorgian |
P184254
|
FINISHED |
| Object | ვეფხისტყაოსანი |
—
|
NE NERFINISHED |
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: ვეფხისტყაოსანი | Statement: [შოთა რუსთაველი, mainWorkTitleInGeorgian, ვეფხისტყაოსანი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainWorkTitleInGeorgian Context triple: [შოთა რუსთაველი, mainWorkTitleInGeorgian, ვეფხისტყაოსანი]
-
A.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
-
B.
mainTitleOf
Indicates that one entity is the primary or official title assigned to another entity (such as a work, item, or record).
-
C.
workTitleInLanguage
chosen
Indicates that a work has a specific title expressed in a particular language.
-
D.
hasTitleWork
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
E.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.