Triple
T7086524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdut Agreement |
E165088
|
entity |
| Predicate | locationConcerned |
P41970
|
FINISHED |
| Object | Baranja |
E507622
|
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: Baranja | Statement: [Erdut Agreement, locationConcerned, Baranja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baranja Context triple: [Erdut Agreement, locationConcerned, Baranja]
-
A.
Baranja
chosen
Baranja is a historical and geographical region in eastern Croatia and southern Hungary, known for its fertile plains, vineyards, and multicultural heritage.
-
B.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
-
C.
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.
-
D.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
E.
Gorski Kotar
Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79484a644819091fac0e361f77c91 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:41 p.m.