Triple
T32546350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Χερσόνησος του Άθω |
E831857
|
entity |
| Predicate | έχειΈκταση |
P13411
|
FINISHED |
| Object | περίπου 335 τετραγωνικά χιλιόμετρα |
—
|
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: περίπου 335 τετραγωνικά χιλιόμετρα | Statement: [Χερσόνησος του Άθω, έχειΈκταση, περίπου 335 τετραγωνικά χιλιόμετρα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΈκταση Context triple: [Χερσόνησος του Άθω, έχειΈκταση, περίπου 335 τετραγωνικά χιλιόμετρα]
-
A.
έχειΘέα
Indicates that one entity offers or provides a view of, or overlooking, another entity.
-
B.
έχειΜεταγραφή
Indicates that an entity has been transferred or has undergone a transfer (e.g., between organizations, teams, or systems).
-
C.
έχει_ανδριάντα
Indicates that an entity has or is associated with a statue (typically of a person).
-
D.
areaTotalSquareKilometers
chosen
Indicates the total size of something measured in square kilometers.
-
E.
crossesAdministrativeRegionOfGreece
Indicates that one entity passes through or extends across the administrative region of Greece associated with another entity.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5bfe55881909a20ef79180d19c4 |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.