Triple
T9670290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevanic |
E234006
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Yevanitika |
E234006
|
NE 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: Yevanitika | Statement: [Yevanic, hasAlternativeName, Yevanitika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevanitika Context triple: [Yevanic, hasAlternativeName, Yevanitika]
-
A.
Ershevka
Ershevka is a rural locality in Kaluga Oblast, Russia.
-
B.
Yevanic
chosen
Yevanic is a historical Greek dialect once spoken by the Romaniote Jews, characterized by its blend of Greek and Hebrew elements.
-
C.
Sama Chakeva
Sama Chakeva is a traditional folk festival of the Mithila region celebrating the bond between brothers and sisters through songs, rituals, and decorative clay idols of birds.
-
D.
Tevot
Tevot is a large-scale orchestral work by contemporary British composer Thomas Adès, noted for its dense textures, complex rhythms, and cosmic, journey-like structure.
-
E.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3ec17081908c2da74a1d1f49da |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a247ca48190910624dfbf0b491d |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.