Triple
T17640975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Mingrelia |
E429222
|
entity |
| Predicate | titleInNativeLanguage |
P89513
|
FINISHED |
| Object | მეგრელთა მეფე (Megrelta mepe) |
—
|
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: მეგრელთა მეფე (Megrelta mepe) | Statement: [Prince of Mingrelia, titleInNativeLanguage, მეგრელთა მეფე (Megrelta mepe)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInNativeLanguage Context triple: [Prince of Mingrelia, titleInNativeLanguage, მეგრელთა მეფე (Megrelta mepe)]
-
A.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
B.
titleInLanguage
chosen
Indicates that a specific title or name is expressed in a particular language.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:02 a.m.