Triple
T13578809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greece and Bulgaria |
E324355
|
entity |
| Predicate | shareInternationalBoundaryLengthApproxKm |
P57957
|
FINISHED |
| Object | about 493 km |
—
|
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: about 493 km | Statement: [Greece and Bulgaria, shareInternationalBoundaryLengthApproxKm, about 493 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareInternationalBoundaryLengthApproxKm Context triple: [Greece and Bulgaria, shareInternationalBoundaryLengthApproxKm, about 493 km]
-
A.
shareLandBorderLengthApproxKm
chosen
Indicates that two entities share a land border whose length is approximately the given number of kilometers.
-
B.
longestLandBorderWith
Indicates that two entities share a land border and that this border is the longest land border for at least one of the entities.
-
C.
hasInternationalBoundaryLengthWithChina
Indicates that there exists a shared land or river border between the subject entity and China, and specifies the length of that international boundary.
-
D.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
E.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.