Triple
T3963975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraków County |
E85970
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Czernichów
Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
|
E445163
|
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: Czernichów | Statement: [Kraków County, contains, Czernichów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czernichów Context triple: [Kraków County, contains, Czernichów]
-
A.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
B.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
C.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
D.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
E.
Pińczów
Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
- 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: Czernichów Triple: [Kraków County, contains, Czernichów]
Generated description
Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Czernichów Target entity description: Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
-
A.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
B.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
C.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
D.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
E.
Pińczów
Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef97326888190bbfe15b218e3112e |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b67b9e1b4081909f53466a603d7061 |
completed | March 15, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69b67c5de2dc819095642ed99a9b9ec6 |
completed | March 15, 2026, 9:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b67d1d3f9081909541b3a2bab7d0e7 |
completed | March 15, 2026, 9:34 a.m. |
Created at: March 9, 2026, 3:31 p.m.