Triple
T12728638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blovice |
E304172
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Komorno
Komorno is a small settlement that forms one of the administrative parts of the town of Blovice in the Czech Republic.
|
E1001664
|
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: Komorno | Statement: [Blovice, hasSubdivision, Komorno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komorno Context triple: [Blovice, hasSubdivision, Komorno]
-
A.
Krosno
Krosno is a historic town in southeastern Poland known for its glassmaking industry and well-preserved old town.
-
B.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
C.
Kłodzko
Kłodzko is a historic town in southwestern Poland known for its well-preserved medieval architecture and prominent hilltop fortress.
-
D.
Przemyśl
Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
-
E.
Cieszyn
Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
- 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: Komorno Triple: [Blovice, hasSubdivision, Komorno]
Generated description
Komorno is a small settlement that forms one of the administrative parts of the town of Blovice in the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Komorno Target entity description: Komorno is a small settlement that forms one of the administrative parts of the town of Blovice in the Czech Republic.
-
A.
Krosno
Krosno is a historic town in southeastern Poland known for its glassmaking industry and well-preserved old town.
-
B.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
C.
Kłodzko
Kłodzko is a historic town in southwestern Poland known for its well-preserved medieval architecture and prominent hilltop fortress.
-
D.
Przemyśl
Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
-
E.
Cieszyn
Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e7dec08190b522a8f3bfde6fe2 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:25 p.m.