Triple
T4248300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian Littoral |
E95581
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Sežana
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.
|
E425050
|
NE FINISHED |
How this triple was built (4 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: [Slovenian Littoral, hasMajorCity, Sežana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sežana Context triple: [Slovenian Littoral, hasMajorCity, Sežana]
-
A.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
B.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
C.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
-
D.
Sveta Katarina
Sveta Katarina is a small Adriatic island near the Croatian coastal town of Rovinj, known for its scenic beaches, clear waters, and resort facilities.
-
E.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sežana Triple: [Slovenian Littoral, hasMajorCity, Sežana]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sežana Target entity description: 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.
-
A.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
B.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
C.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
-
D.
Sveta Katarina
Sveta Katarina is a small Adriatic island near the Croatian coastal town of Rovinj, known for its scenic beaches, clear waters, and resort facilities.
-
E.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
- F. None of above. chosen
Provenance (5 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87c033881908e0cf9fdfecaf36a |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a925b8e881908338dc0620b18734 |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ad224c848190b1ce76d61fc1d564 |
completed | March 14, 2026, 6:46 p.m. |
Created at: March 12, 2026, 11:06 p.m.