Triple
T8186000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bohemian Region |
E191184
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Písek |
E424693
|
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: Písek | Statement: [South Bohemian Region, containsTown, Písek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Písek Context triple: [South Bohemian Region, containsTown, Písek]
-
A.
Písek
chosen
Písek is a historic town in the South Bohemian Region of the Czech Republic, known for its medieval stone bridge and well-preserved old town.
-
B.
Kája
Kája is a Czech diminutive form of the given name Karel.
-
C.
Spilka
Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
-
D.
Piškera
Piškera is a small, uninhabited island in Croatia’s Kornati archipelago, known for its rugged coastline and clear Adriatic waters.
-
E.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf9a0e24819098f1693e78dc7445 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:41 p.m.