Triple
T11462832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilna |
E271703
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Vilna (Yiddish form) |
E271703
|
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: Vilna (Yiddish form) | Statement: [Vilna, hasAlternativeName, Vilna (Yiddish form)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilna (Yiddish form) Context triple: [Vilna, hasAlternativeName, Vilna (Yiddish form)]
-
A.
Vilna
chosen
Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
-
B.
Novopolotsk
Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
-
C.
Vizhnitz
Vizhnitz is a prominent Hasidic dynasty originating in Eastern Europe, known for its strong emphasis on communal life, joyous worship, and adherence to traditional Jewish scholarship and customs.
-
D.
Volkovysk
Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
-
E.
Litvak
Litvak is a surname most notably borne by Anatole Litvak, a Ukrainian-born film director who worked extensively in Hollywood and Europe.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e92a7c2881908d85009a6069b2e4 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.