Triple
T8954497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcadia regional unit |
E213437
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Leonidio |
E417599
|
NE 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: Leonidio | Statement: [Arcadia regional unit, hasSettlement, Leonidio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonidio Context triple: [Arcadia regional unit, hasSettlement, Leonidio]
-
A.
Leonidio
chosen
Leonidio is a traditional coastal town in the eastern Peloponnese of Greece, known for its dramatic red cliffs, Tsakonian cultural heritage, and popular rock-climbing routes.
-
B.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
-
C.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
D.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
E.
Kuzma
Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6724f3e4819092c6b13d80871e80 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd09e378c8190bb9f5d78a3b91fe7 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7 p.m.