Triple
T7638811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis GZM |
E172946
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Siewierz
Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
|
E925336
|
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: Siewierz | Statement: [Metropolis GZM, hasMember, Siewierz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siewierz Context triple: [Metropolis GZM, hasMember, Siewierz]
-
A.
Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
-
B.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
-
C.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
D.
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.
-
E.
Szydłów
Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
- 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: Siewierz Triple: [Metropolis GZM, hasMember, Siewierz]
Generated description
Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siewierz Target entity description: Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
-
A.
Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
-
B.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
-
C.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
D.
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.
-
E.
Szydłów
Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facb14188190952de18fa2699784 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b744b534819095b272ba8943f7b7 |
completed | April 20, 2026, 5:19 a.m. |
| NEDg | Description generation | batch_69e5c289b5ac81909bdaec61a66f6654 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c43f4b4c8190aeae600364d2e4ac |
completed | April 20, 2026, 6:14 a.m. |
Created at: March 27, 2026, 3:57 p.m.