Triple
T32617519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakalonisi |
E833829
|
entity |
| Predicate | hasSurroundingCountry |
P181353
|
FINISHED |
| Object | Greece |
—
|
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: Greece | Statement: [Tsakalonisi, hasSurroundingCountry, Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingCountry Context triple: [Tsakalonisi, hasSurroundingCountry, Greece]
-
A.
hasCountryBorderWith
Indicates that two countries share a common land or maritime boundary.
-
B.
neighboringCountryPresence
Indicates that one country has a geographic presence (such as territory, bases, or influence) in or immediately adjacent to a neighboring country.
-
C.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
-
D.
geographicallyBorders
chosen
Indicates that two geographic entities share a common boundary or border.
-
E.
hasBorderWithinCountry
Indicates that one region or area shares an internal boundary with another region or area within the same country.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 1:06 a.m.