Triple
T20830815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Suk |
E512820
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Benešov |
—
|
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: Benešov | Statement: [Josef Suk, deathPlace, Benešov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benešov Context triple: [Josef Suk, deathPlace, Benešov]
-
A.
Benešov
chosen
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
B.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
D.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
E.
Bubeneč
Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32177188190ad67572cb3b5db74 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.