Triple
T3963968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraków County |
E85970
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Krzeszowice
Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
|
E444765
|
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: Krzeszowice | Statement: [Kraków County, contains, Krzeszowice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krzeszowice Context triple: [Kraków County, contains, Krzeszowice]
-
A.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
B.
Starachowice
Starachowice is an industrial town in south-central Poland known for its automotive and metalworking industries and its location near the Świętokrzyskie (Holy Cross) Mountains.
-
C.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
D.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
E.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
- 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: Krzeszowice Triple: [Kraków County, contains, Krzeszowice]
Generated description
Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krzeszowice Target entity description: Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
-
A.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
B.
Starachowice
Starachowice is an industrial town in south-central Poland known for its automotive and metalworking industries and its location near the Świętokrzyskie (Holy Cross) Mountains.
-
C.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
D.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
E.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
- 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_69b66b21271c81909f1cf3239bc1b7eb |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66c22c73c8190b75a9585cba09f59 |
completed | March 15, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66caba92c819094747fc63eb71553 |
completed | March 15, 2026, 8:24 a.m. |
Created at: March 9, 2026, 3:31 p.m.