Triple
T16199693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line B (Prague Metro) |
E393164
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Zličín |
E393165
|
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: Zličín | Statement: [Line B (Prague Metro), hasTerminus, Zličín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zličín Context triple: [Line B (Prague Metro), hasTerminus, Zličín]
-
A.
Zličín
chosen
Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
-
B.
Dubí
Dubí is a small spa town in the Ústí nad Labem Region of the Czech Republic, known for its porcelain production and location in the Ore Mountains near the German border.
-
C.
Zruč nad Sázavou
Zruč nad Sázavou is a small historic town in the Central Bohemian Region of the Czech Republic, known for its riverside setting, castle, and former industrial (especially shoe-making) tradition.
-
D.
Libeň
Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
-
E.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456f2ba481909f243ab2c4619623 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.