Triple
T19827799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Osečina |
E476372
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Skadar
Skadar is a small settlement located within the municipality of Osečina in western Serbia.
|
E1405171
|
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: Skadar | Statement: [municipality of Osečina, containsSettlement, Skadar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skadar Context triple: [municipality of Osečina, containsSettlement, Skadar]
-
A.
Ohrid
Ohrid is a historic lakeside city in North Macedonia renowned as an early Slavic Christian and cultural center, famed for its medieval churches and monasteries.
-
B.
Karašica
Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
-
C.
Imotski
Imotski is a small historic town in inland Dalmatia, Croatia, known for its karst landscape and the nearby Blue and Red Lakes.
-
D.
Smederevska Palanka
Smederevska Palanka is a town and municipality in central Serbia known for its industrial heritage and role as a regional administrative and economic center.
-
E.
Preševo
Preševo is a town and municipality in southern Serbia near the borders with North Macedonia and Kosovo, known for its significant Albanian population and strategic location along the main Balkan transport corridor.
- 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: Skadar Triple: [municipality of Osečina, containsSettlement, Skadar]
Generated description
Skadar is a small settlement located within the municipality of Osečina in western Serbia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skadar Target entity description: Skadar is a small settlement located within the municipality of Osečina in western Serbia.
-
A.
Ohrid
Ohrid is a historic lakeside city in North Macedonia renowned as an early Slavic Christian and cultural center, famed for its medieval churches and monasteries.
-
B.
Karašica
Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
-
C.
Imotski
Imotski is a small historic town in inland Dalmatia, Croatia, known for its karst landscape and the nearby Blue and Red Lakes.
-
D.
Smederevska Palanka
Smederevska Palanka is a town and municipality in central Serbia known for its industrial heritage and role as a regional administrative and economic center.
-
E.
Preševo
Preševo is a town and municipality in southern Serbia near the borders with North Macedonia and Kosovo, known for its significant Albanian population and strategic location along the main Balkan transport corridor.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804ea926881909fd95ca97fd373a0 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a08060edb8481908d000dc5e9bc824e |
completed | May 16, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0806c7c6f8819090fdd3052ade4074 |
completed | May 16, 2026, 5:55 a.m. |
Created at: April 10, 2026, 1:50 p.m.