Triple
T19193326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čižići |
E469897
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Klimno |
—
|
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: Klimno | Statement: [Čižići, hasNearbyPlace, Klimno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klimno Context triple: [Čižići, hasNearbyPlace, Klimno]
-
A.
Klimno
chosen
Klimno is a small coastal village and tourist resort on the island of Krk in Croatia, known for its sheltered bay and tranquil seaside atmosphere.
-
B.
Kilifarevo
Kilifarevo is a small town in central northern Bulgaria, known for its historic monastery and picturesque setting in the Balkan foothills.
-
C.
Kolina
Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
-
D.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
E.
Moglina
Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a409948190a17aa28a6e9c8844 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.