Triple
T34864457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kroscienko–Smilnytsia |
E1004973
|
entity |
| Predicate | borderSidePoland |
P192043
|
FINISHED |
| Object | Krościenko |
—
|
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: Krościenko | Statement: [Kroscienko–Smilnytsia, borderSidePoland, Krościenko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSidePoland Context triple: [Kroscienko–Smilnytsia, borderSidePoland, Krościenko]
-
A.
sharesBorderWithPolishVoivodeship
chosen
Indicates that one entity has a land or water boundary directly adjoining a Polish voivodeship.
-
B.
distanceToPolishBorder
Indicates the measured distance between a given location and the nearest point on the border of Poland.
-
C.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
D.
hasCityOnPolishSide
Indicates that a given entity has a city located on the Polish side of a border or within Polish territory.
-
E.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: May 3, 2026, 4 p.m.