Triple
T35097668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotelnich |
E1012909
|
entity |
| Predicate | hasRailwayStationOnLine |
P72542
|
FINISHED |
| Object | Trans-Siberian Railway |
—
|
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: Trans-Siberian Railway | Statement: [Kotelnich, hasRailwayStationOnLine, Trans-Siberian Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayStationOnLine Context triple: [Kotelnich, hasRailwayStationOnLine, Trans-Siberian Railway]
-
A.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
B.
hasRailwayStationOn
chosen
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
C.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
D.
isRailwayStationInNetwork
Indicates that a railway station belongs to, and is served as part of, a particular railway network.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:01 p.m.