Triple
T6510779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt (Oder) |
E150125
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Słubice
Słubice is a Polish border town on the Oder River, located directly across from Frankfurt (Oder) and historically part of the same urban area.
|
E827145
|
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: Słubice | Statement: [Frankfurt (Oder), twinTown, Słubice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Słubice Context triple: [Frankfurt (Oder), twinTown, Słubice]
-
A.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
B.
Racibórz
Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
-
C.
Sławno
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
-
D.
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
-
E.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
- 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: Słubice Triple: [Frankfurt (Oder), twinTown, Słubice]
Generated description
Słubice is a Polish border town on the Oder River, located directly across from Frankfurt (Oder) and historically part of the same urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Słubice Target entity description: Słubice is a Polish border town on the Oder River, located directly across from Frankfurt (Oder) and historically part of the same urban area.
-
A.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
B.
Racibórz
Racibórz is a historic town in southern Poland, located in the Silesian region near the Czech border, known for its medieval heritage and industrial traditions.
-
C.
Sławno
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
-
D.
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
-
E.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ea9d96ac81908115489681070bcc |
completed | April 5, 2026, 4:52 a.m. |
| NEDg | Description generation | batch_69d1eb79be388190853e0e7c29287294 |
completed | April 5, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ebf0a99081908ae0c4bceadc42bc |
completed | April 5, 2026, 4:58 a.m. |
Created at: March 27, 2026, 1:43 p.m.