Triple
T11682857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podlaskie Voivodeship |
E277661
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kolno
Kolno is a small town in northeastern Poland known for its traditional character and location within the Podlaskie region.
|
E940693
|
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: Kolno | Statement: [Podlaskie Voivodeship, containsTown, Kolno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolno Context triple: [Podlaskie Voivodeship, containsTown, Kolno]
-
A.
Kolno
Kolno is a small town in northeastern Poland known for its rural character and location within the historic Warmia-Masuria area.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Olesno
Olesno is a historic town in southern Poland known for its medieval origins and traditional Silesian character.
-
D.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
E.
Krommenie
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
- 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: Kolno Triple: [Podlaskie Voivodeship, containsTown, Kolno]
Generated description
Kolno is a small town in northeastern Poland known for its traditional character and location within the Podlaskie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolno Target entity description: Kolno is a small town in northeastern Poland known for its traditional character and location within the Podlaskie region.
-
A.
Kolno
Kolno is a small town in northeastern Poland known for its rural character and location within the historic Warmia-Masuria area.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Olesno
Olesno is a historic town in southern Poland known for its medieval origins and traditional Silesian character.
-
D.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
E.
Krommenie
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.