Triple
T16243293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosovo Vilayet |
E394305
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Vranje |
E1031433
|
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: Vranje | Statement: [Kosovo Vilayet, majorCity, Vranje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vranje Context triple: [Kosovo Vilayet, majorCity, Vranje]
-
A.
Vranje
chosen
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.
-
B.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
C.
Veternica
Veternica is a river in Serbia that forms part of the Morava river basin.
-
D.
Crnogorci
Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
-
E.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560060c8190ace4f4c0bd0d886d |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c48c5cc8190ba99154e99942316 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:04 a.m.