Triple
T7286897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandžak |
E163891
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | 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: Berane | Statement: [Sandžak, majorTown, Berane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berane Context triple: [Sandžak, majorTown, 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.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
C.
Temišvar
Temišvar is the Serbian name for Timișoara, a major cultural and economic city in western Romania known for its historical architecture and role in the 1989 Romanian Revolution.
-
D.
Dravograd
Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
-
E.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb532adc8190bcbbf31bb54383fb |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eb53060819081312e8b2805e9db |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 2:59 p.m.