Triple
T20972192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlík Reservoir |
E516529
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Milevsko |
—
|
NE NERFINISHED |
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: Milevsko | Statement: [Orlík Reservoir, locatedNear, Milevsko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milevsko Context triple: [Orlík Reservoir, locatedNear, Milevsko]
-
A.
Milevsko
chosen
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
B.
Milešovka
Milešovka is a prominent volcanic mountain in the Czech Republic, renowned for its distinctive conical shape and extensive panoramic views.
-
C.
Novčica
Novčica is a river in Croatia that flows through the town of Gospić in the Lika region.
-
D.
Maroško
Maroško is a literary work by Slovak writer Martin Rázus, known as a classic of early 20th-century Slovak literature.
-
E.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba161d88190b8905891f449004e |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:44 p.m.