Triple
T16089794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Černý Most |
E390330
|
entity |
| Predicate | precededByStationOnLineB |
P66132
|
FINISHED |
| Object | Rajská zahrada |
—
|
LITERAL 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: Rajská zahrada | Statement: [Černý Most, precededByStationOnLineB, Rajská zahrada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByStationOnLineB Context triple: [Černý Most, precededByStationOnLineB, Rajská zahrada]
-
A.
precededByStationOnLine5
Indicates that one station directly comes before another station in the ordered sequence of stations on line 5.
-
B.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
-
C.
precedingStationOnLine10
Indicates that one station is immediately before another station along the route of line 10.
-
D.
precedingStationOnBlueLine
Indicates that one station is immediately before another station along the Blue Line route.
-
E.
precedingStation
chosen
Indicates that one station is located immediately before another station in a route or sequence.
- F. None of above.
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.