Triple
T6309191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikšić |
E141456
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
KK Sutjeska Nikšić
KK Sutjeska Nikšić is a professional basketball club from Nikšić, Montenegro, competing in national and regional leagues.
|
E584316
|
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: KK Sutjeska Nikšić | Statement: [Nikšić, hasSportsClub, KK Sutjeska Nikšić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Sutjeska Nikšić Context triple: [Nikšić, hasSportsClub, KK Sutjeska Nikšić]
-
A.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
B.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
C.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
-
D.
Vršac
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
-
E.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
- 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: KK Sutjeska Nikšić Triple: [Nikšić, hasSportsClub, KK Sutjeska Nikšić]
Generated description
KK Sutjeska Nikšić is a professional basketball club from Nikšić, Montenegro, competing in national and regional leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KK Sutjeska Nikšić Target entity description: KK Sutjeska Nikšić is a professional basketball club from Nikšić, Montenegro, competing in national and regional leagues.
-
A.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
B.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
C.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
-
D.
Vršac
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
-
E.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45a924081909a1190ce2987b16d |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e83baa8c819083ac5d8ed402f8b9 |
completed | March 27, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e8cf4f7881908ede524ba24c1c9a |
completed | March 27, 2026, 2:17 a.m. |
Created at: March 22, 2026, 4:28 p.m.