Triple
T20601138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kresna |
E506181
|
entity |
| Predicate | hasNearbyBorderDirection |
P115093
|
FINISHED |
| Object | north of the Greek border |
—
|
LITERAL FINISHED |
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: north of the Greek border | Statement: [Kresna, hasNearbyBorderDirection, north of the Greek border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyBorderDirection Context triple: [Kresna, hasNearbyBorderDirection, north of the Greek border]
-
A.
hasNearbyBoundary
Indicates that one entity’s boundary lies close to, but does not necessarily touch or coincide with, the boundary of another entity.
-
B.
hasBorderDirection
Indicates that one entity’s border lies in, or is oriented toward, a specified cardinal or relative direction with respect to another entity.
-
C.
nearBorderDirection
chosen
Indicates that one entity is located close to a border or boundary in a specified directional orientation relative to that border.
-
D.
hasNearbyCountyBorder
Indicates that the borders of two counties are geographically close to each other, though not necessarily directly adjacent.
-
E.
hasNeighbouringUnit
Indicates that one unit is directly adjacent to and shares a boundary or side with another unit.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1ffd088190adeacb9fe4907530 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.