Triple
T5458255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carso Plateau |
E122531
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sežana |
E425050
|
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: Sežana | Statement: [Carso Plateau, hasSettlement, Sežana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sežana Context triple: [Carso Plateau, hasSettlement, Sežana]
-
A.
Sežana
chosen
Sežana is a town in southwestern Slovenia near the Italian border, known as a regional center of the Karst area and an important transport and trade hub.
-
B.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
C.
Dáša
Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
-
D.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
E.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91f1cca48190afa15b8ccfea1f88 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4149c6c081909f57e214dad54777 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.