Triple
T8055924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melania Knauss |
E187998
|
entity |
| Predicate | grewUpIn |
P1041
|
FINISHED |
| Object | Sevnica, Slovenia |
E246457
|
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: Sevnica, Slovenia | Statement: [Melania Knauss, grewUpIn, Sevnica, Slovenia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevnica, Slovenia Context triple: [Melania Knauss, grewUpIn, Sevnica, Slovenia]
-
A.
Novo Mesto, Slovenia
Novo Mesto is a historic town in southeastern Slovenia known for its cultural heritage and picturesque setting on the Krka River.
-
B.
Jesenice, Slovenia
Jesenice, Slovenia is an industrial town in northwestern Slovenia near the Austrian border, historically known for its steel industry and as a center of Slovenian ice hockey.
-
C.
Sevnica
chosen
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
D.
Velenje
Velenje is a modern industrial town in northern Slovenia known for its coal mining heritage, large lakeside recreational area, and one of the largest Tito statues in the world.
-
E.
Celje
Celje is a historic city in eastern Slovenia known for its medieval castle and former prominence as a regional political and economic center.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa16804819094926ff2ff053c80 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d2d5008190b768e7a8b910e460 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:25 p.m.