Triple
T903336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sluha Narodu |
E19493
|
entity |
| Predicate | hasYouthWing |
P1088
|
FINISHED |
| Object | Ze!Molodizhka |
E18902
|
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: Ze!Molodizhka | Statement: [Sluha Narodu, hasYouthWing, Ze!Molodizhka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ze!Molodizhka Context triple: [Sluha Narodu, hasYouthWing, Ze!Molodizhka]
-
A.
Ze!Molodizhka
chosen
Ze!Molodizhka is the youth wing of the Ukrainian political party Servant of the People, aimed at engaging and mobilizing young people in the party’s activities and agenda.
-
B.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
-
C.
Privolnoye
Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
-
D.
Svobodny
Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
-
E.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad56f4c08190a7a5091ff0eb3209 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c736bb6c8190a9cad1ef536be785 |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.