Triple
T616890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quakenbrück |
E14423
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Śrem
Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
|
E80187
|
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: Śrem | Statement: [Quakenbrück, hasTwinTown, Śrem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śrem Context triple: [Quakenbrück, hasTwinTown, Śrem]
-
A.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
B.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
C.
Skarżysko-Kamienna
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
-
D.
Zamość
Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic 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: Śrem Triple: [Quakenbrück, hasTwinTown, Śrem]
Generated description
Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Śrem Target entity description: Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
-
A.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
B.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
C.
Skarżysko-Kamienna
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
-
D.
Zamość
Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e22f3688190a512bec3f0347814 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5740161cc81909a0086f7c541be98 |
completed | March 2, 2026, 11:26 a.m. |
| NEDg | Description generation | batch_69a57548510481908f4d0aa2f45485ce |
completed | March 2, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a576df962c8190a0ce140a735393ea |
completed | March 2, 2026, 11:39 a.m. |
Created at: March 1, 2026, 7:35 p.m.