Triple
T15609525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lepenica |
E375250
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | sr:Lepenica |
E375250
|
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: sr:Lepenica | Statement: [Lepenica, hasNameInLanguage, sr:Lepenica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sr:Lepenica Context triple: [Lepenica, hasNameInLanguage, sr:Lepenica]
-
A.
Lepenica
chosen
Lepenica is a river in central Serbia that flows through the city of Kragujevac before joining the Velika Morava.
-
B.
Pišnica
Pišnica is a mountain river in northwestern Slovenia, known for its clear alpine waters and scenic course through the Julian Alps near Kranjska Gora.
-
C.
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.
-
D.
Lobzenica
Lobzenica is a small town in north-central Poland, historically part of Royal Prussia and Greater Poland, known for its medieval roots and regional cultural heritage.
-
E.
Szrenica
Szrenica is a prominent mountain peak in the Karkonosze range of the Sudetes on the Polish–Czech border, known for its hiking trails and ski resort facilities.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d51c28819097b8c2c0e2307401 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.