Triple
T20864615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | České středohoří |
E513719
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Porta Bohemica |
—
|
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: Porta Bohemica | Statement: [České středohoří, contains, Porta Bohemica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porta Bohemica Context triple: [České středohoří, contains, Porta Bohemica]
-
A.
Prague Gate
Prague Gate is a historic city gate in Český Brod, Czech Republic, preserved as a notable remnant of the town’s medieval fortifications.
-
B.
Prague Gate
Prague Gate is a historic city gate in Žatec, Czech Republic, that once formed part of the town’s medieval fortifications.
-
C.
Plzeňská Gate
Plzeňská Gate is a historic city gate in Beroun, Czech Republic, notable as one of the town’s preserved medieval fortification structures.
-
D.
Žatec Gate
Žatec Gate is a historic city gate in Louny, Czech Republic, notable as a preserved remnant of the town’s medieval fortifications.
-
E.
Moravian Gate
chosen
The Moravian Gate is a lowland corridor in the Czech Republic that forms a natural pass between the Sudetes and Carpathian Mountains, historically serving as an important route for transport and migration.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.