Triple
T15684803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugova Mountains |
E380169
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Prokletije |
E380166
|
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: Prokletije | Statement: [Rugova Mountains, partOf, Prokletije]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prokletije Context triple: [Rugova Mountains, partOf, Prokletije]
-
A.
Prokletije
chosen
Prokletije is a rugged mountain range in the western Balkans, known for its dramatic peaks, deep valleys, and remote, wild landscapes spanning parts of Montenegro, Albania, and Kosovo.
-
B.
Paraćin
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
C.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
D.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
E.
Prijepolje
Prijepolje is a town in southwestern Serbia near the border with Montenegro, known for its multicultural heritage and scenic location along the Lim River.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82ebe98481908d528d2cba485de4 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:44 a.m.