Triple
T17403625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostermundigen |
E423156
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Bjelovar
Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
|
E1287020
|
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: Bjelovar | Statement: [Ostermundigen, hasTwinTown, Bjelovar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjelovar Context triple: [Ostermundigen, hasTwinTown, Bjelovar]
-
A.
Slavonski Brod
Slavonski Brod is a major city in eastern Croatia situated on the border with Bosnia and Herzegovina, known as an important industrial and transport hub on the Sava River.
-
B.
Đakovo
Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
-
C.
Jastrebarsko
Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
-
D.
Koprivnica
Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
-
E.
Sisak
Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
- 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: Bjelovar Triple: [Ostermundigen, hasTwinTown, Bjelovar]
Generated description
Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjelovar Target entity description: Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
-
A.
Slavonski Brod
Slavonski Brod is a major city in eastern Croatia situated on the border with Bosnia and Herzegovina, known as an important industrial and transport hub on the Sava River.
-
B.
Đakovo
Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
-
C.
Jastrebarsko
Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
-
D.
Koprivnica
Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
-
E.
Sisak
Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efa45b8c81908d31f097b5c4712a |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f1232f348190ab28e8d5ed4d3ad3 |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f18beeb88190ac8cb9540b6b7b88 |
completed | May 12, 2026, 9:23 a.m. |
Created at: April 10, 2026, 5:45 a.m.