Triple
T7151261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troja |
E166695
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bohnice |
E599220
|
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: Bohnice | Statement: [Troja, near, Bohnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bohnice Context triple: [Troja, near, Bohnice]
-
A.
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.
-
B.
Blovice
Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
-
C.
Benešov
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
D.
Brněnec
Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
-
E.
Libeň
chosen
Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f3e4a88190a3110f2368262528 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf817e4c819098268479f3fb181f |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:46 p.m.