Triple
T7466468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krajna |
E176384
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Sępólno Krajeńskie
Sępólno Krajeńskie is a small town in north-central Poland, serving as a local administrative and cultural center in the historic Krajna region.
|
E667195
|
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: Sępólno Krajeńskie | Statement: [Krajna, hasTown, Sępólno Krajeńskie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sępólno Krajeńskie Context triple: [Krajna, hasTown, Sępólno Krajeńskie]
-
A.
Siemiatycze
Siemiatycze is a small town in northeastern Poland known for its multicultural heritage and location near the Bug River.
-
B.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
E.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
- 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: Sępólno Krajeńskie Triple: [Krajna, hasTown, Sępólno Krajeńskie]
Generated description
Sępólno Krajeńskie is a small town in north-central Poland, serving as a local administrative and cultural center in the historic Krajna region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sępólno Krajeńskie Target entity description: Sępólno Krajeńskie is a small town in north-central Poland, serving as a local administrative and cultural center in the historic Krajna region.
-
A.
Siemiatycze
Siemiatycze is a small town in northeastern Poland known for its multicultural heritage and location near the Bug River.
-
B.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
E.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f412908190ac910ecae682d6f6 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346ff7d881909dc2bef5d26d0acf |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835ce5bbc8190b968535c16cfc660 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c836a80eb081908b9937944fe18661 |
completed | March 28, 2026, 8:14 p.m. |
Created at: March 27, 2026, 3:40 p.m.