Triple
T17709762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sviatoshynsko–Brovarska line |
E441531
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Universytet |
—
|
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: Universytet | Statement: [Sviatoshynsko–Brovarska line, hasStation, Universytet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universytet Context triple: [Sviatoshynsko–Brovarska line, hasStation, Universytet]
-
A.
Universytet
chosen
Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
-
B.
Universitetet
Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
-
C.
Universitate
Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
-
D.
Universitet
Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
-
E.
Universitat
Universitat is a central Barcelona Metro station serving the busy Plaça de la Universitat area near the city's historic university.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729a9a9c81908d65ff0bda12c961 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.