Triple
T23708625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ternopil railway station |
E585798
|
entity |
| Predicate | connectsInternationallyTo |
P99274
|
FINISHED |
| Object | Poland |
—
|
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: Poland | Statement: [Ternopil railway station, connectsInternationallyTo, Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsInternationallyTo Context triple: [Ternopil railway station, connectsInternationallyTo, Poland]
-
A.
hasLimitedInternationalConnections
Indicates that an entity maintains only a small, restricted, or less extensive set of relationships or interactions with foreign or international counterparts.
-
B.
isBroadcastInternationally
Indicates that a broadcast is transmitted and made available across multiple countries or beyond national boundaries.
-
C.
connectsCountryOrRegion
chosen
Indicates that one entity establishes a connection, link, or association to a specific country or region.
-
D.
hasInternationalService
Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
-
E.
internationalUsage
Indicates that something is used or applied across multiple countries or in an international 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b775a4288190bbee7bd4b5bbcd75 |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.