Triple
T13776601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berane |
E331022
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | KK Berane |
E331022
|
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: KK Berane | Statement: [Berane, hasSportsClub, KK Berane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KK Berane Context triple: [Berane, hasSportsClub, KK Berane]
-
A.
Skenderaj
Skenderaj is a town and municipality in central Kosovo known as the birthplace of several prominent Kosovar Albanian political figures and as a center of activity during the Kosovo War.
-
B.
Berane
chosen
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
C.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
D.
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.
-
E.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86c9ff88190a2e4f6aa907f2eba |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.