Triple
T33374581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čierna nad Tisou railway station |
E854589
|
entity |
| Predicate | hasBroadGaugeConnectionTo |
P845
|
FINISHED |
| Object | Ukrainian rail network |
—
|
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: Ukrainian rail network | Statement: [Čierna nad Tisou railway station, hasBroadGaugeConnectionTo, Ukrainian rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadGaugeConnectionTo Context triple: [Čierna nad Tisou railway station, hasBroadGaugeConnectionTo, Ukrainian rail network]
-
A.
hasFareGateConnectionTo
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
-
B.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
C.
hasConnector
Indicates that one entity is linked or joined to another entity through a connector or connecting element.
-
D.
openedAsBroadGaugeTerminus
Indicates that a railway station was originally opened as a terminus built to broad-gauge track standards.
-
E.
hasBroad
Indicates that one entity possesses or exhibits a wide or extensive scope, range, or coverage in relation to another entity or context.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 1:35 a.m.