Triple
T20844421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virovitica-Podravina County |
E513182
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Voćin
Voćin is a village and municipality in northeastern Croatia, known for its natural surroundings near the Papuk mountain and its historically significant church.
|
E1453812
|
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: Voćin | Statement: [Virovitica-Podravina County, hasMunicipality, Voćin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voćin Context triple: [Virovitica-Podravina County, hasMunicipality, Voćin]
-
A.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
B.
Vranje
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.
-
C.
Veternica
Veternica is a river in Serbia that forms part of the Morava river basin.
-
D.
Vlasic
Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
-
E.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
- 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: Voćin Triple: [Virovitica-Podravina County, hasMunicipality, Voćin]
Generated description
Voćin is a village and municipality in northeastern Croatia, known for its natural surroundings near the Papuk mountain and its historically significant church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voćin Target entity description: Voćin is a village and municipality in northeastern Croatia, known for its natural surroundings near the Papuk mountain and its historically significant church.
-
A.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
B.
Vranje
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.
-
C.
Veternica
Veternica is a river in Serbia that forms part of the Morava river basin.
-
D.
Vlasic
Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
-
E.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b01d11c8190a8ca8e331b2c0936 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bf30e048190a2c81dece02c997d |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090d0d52fc8190aed0a475f3424213 |
completed | May 17, 2026, 12:34 a.m. |
Created at: April 16, 2026, 12:43 p.m.