Triple
T10450237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedlčany |
E246401
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Mastník |
E863322
|
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: Mastník | Statement: [Sedlčany, hasRiver, Mastník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mastník Context triple: [Sedlčany, hasRiver, Mastník]
-
A.
Mastník
chosen
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
B.
Šeteniai
Šeteniai is a small village in central Lithuania best known as the birthplace of Nobel Prize–winning poet and writer Czesław Miłosz.
-
C.
Mistrató
Mistrató is a small municipality in the Colombian coffee-growing region, located in the western part of the Risaralda Department.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
Mojstrovka
Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fb27f5081909e78bd8029e65948 |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:17 p.m.