Triple
T15753385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brda |
E381903
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vipolže
Vipolže is a small village in western Slovenia, known for its wine-growing landscape and historic manor within the Brda region.
|
E1175876
|
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: Vipolže | Statement: [Brda, hasSettlement, Vipolže]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vipolže Context triple: [Brda, hasSettlement, Vipolže]
-
A.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
B.
Pohvistnevo
Pohvistnevo is a small industrial city in western Russia, located in Samara Oblast along important regional rail and transport routes.
-
C.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
D.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
-
E.
Värska
Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
- 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: Vipolže Triple: [Brda, hasSettlement, Vipolže]
Generated description
Vipolže is a small village in western Slovenia, known for its wine-growing landscape and historic manor within the Brda region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vipolže Target entity description: Vipolže is a small village in western Slovenia, known for its wine-growing landscape and historic manor within the Brda region.
-
A.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
B.
Pohvistnevo
Pohvistnevo is a small industrial city in western Russia, located in Samara Oblast along important regional rail and transport routes.
-
C.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
D.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
-
E.
Värska
Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876f005c8190913dec49b839b9f9 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b5fb4708190ab83653817f7b44e |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8c1cc6a081908d09e73b5d219b05 |
completed | May 9, 2026, 7:33 p.m. |
Created at: April 10, 2026, 4:47 a.m.