Triple
T5267410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slavonia |
E118970
|
entity |
| Predicate | importantCity |
P3940
|
FINISHED |
| Object |
Požega
Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
|
E507623
|
NE FINISHED |
How this triple was built (4 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: Požega | Statement: [Slavonia, importantCity, Požega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Požega Context triple: [Slavonia, importantCity, Požega]
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Crikvenica
Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
-
C.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
D.
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.
-
E.
Žabljak
Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Požega Triple: [Slavonia, importantCity, Požega]
Generated description
Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Požega Target entity description: Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Crikvenica
Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
-
C.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
D.
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.
-
E.
Žabljak
Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
- F. None of above. chosen
Provenance (5 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfc3f288190b128777caaad2275 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe924e80819083fbc761900e263c |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69bf028c767881908e164047cb92179a |
completed | March 21, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf02fc28a48190acfcf367ae9d8384 |
completed | March 21, 2026, 8:43 p.m. |
Created at: March 20, 2026, 1:51 p.m.