Triple
T13122018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawa Piasts |
E311746
|
entity |
| Predicate | regionRuled |
P15936
|
FINISHED |
| Object |
Rawa Mazowiecka
Rawa Mazowiecka is a historic town in central Poland, known for its medieval origins and role as a regional center in the Mazovian region.
|
E1361817
|
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: Rawa Mazowiecka | Statement: [Rawa Piasts, regionRuled, Rawa Mazowiecka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawa Mazowiecka Context triple: [Rawa Piasts, regionRuled, Rawa Mazowiecka]
-
A.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
B.
Ostrów Mazowiecka
Ostrów Mazowiecka is a town in northeastern Poland known as a local administrative and commercial center with historical roots dating back to the Middle Ages.
-
C.
Otwock
Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
-
D.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
E.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
- 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: Rawa Mazowiecka Triple: [Rawa Piasts, regionRuled, Rawa Mazowiecka]
Generated description
Rawa Mazowiecka is a historic town in central Poland, known for its medieval origins and role as a regional center in the Mazovian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rawa Mazowiecka Target entity description: Rawa Mazowiecka is a historic town in central Poland, known for its medieval origins and role as a regional center in the Mazovian region.
-
A.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
B.
Ostrów Mazowiecka
Ostrów Mazowiecka is a town in northeastern Poland known as a local administrative and commercial center with historical roots dating back to the Middle Ages.
-
C.
Otwock
Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
-
D.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
E.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819840b881909b76022b4c4dcaed |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f232ba1c8190a30e699c556625f6 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f328c18881909948ed66d50b9eae |
completed | May 15, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4f990808190b3b8e21f85d20219 |
completed | May 15, 2026, 10:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.