Triple
T19794484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjelasica mountain range |
E475503
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Berane |
—
|
NE NERFINISHED |
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: Berane | Statement: [Bjelasica mountain range, nearCity, Berane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berane Context triple: [Bjelasica mountain range, nearCity, Berane]
-
A.
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.
-
B.
Zlatibor
Zlatibor is a popular mountainous region and tourist destination in western Serbia, known for its scenic landscapes, ski resorts, and health tourism.
-
C.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
-
D.
Kostajnica
Kostajnica is a small town situated on the banks of the Una River, known for its picturesque natural surroundings and historic borderland location.
-
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 (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c5a7d48190b2a384f768d13750 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.