Triple
T1329449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masovian Voivodeship |
E28607
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
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.
|
E302877
|
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: Ostrołęka | Statement: [Masovian Voivodeship, contains, Ostrołęka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostrołęka Context triple: [Masovian Voivodeship, contains, Ostrołęka]
-
A.
Ostrowiec Świętokrzyski
Ostrowiec Świętokrzyski is a city in south-central Poland known for its steel industry and proximity to the Świętokrzyskie (Holy Cross) Mountains.
-
B.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
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: Ostrołęka Triple: [Masovian Voivodeship, contains, Ostrołęka]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostrołęka Target entity description: 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.
-
A.
Ostrowiec Świętokrzyski
Ostrowiec Świętokrzyski is a city in south-central Poland known for its steel industry and proximity to the Świętokrzyskie (Holy Cross) Mountains.
-
B.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe849ea708190be6393a21fd6da33 |
completed | March 10, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69afe948ba148190a88126df32f16be2 |
completed | March 10, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0018170908190976f849380841b17 |
completed | March 10, 2026, 11:33 a.m. |
Created at: March 1, 2026, 7:55 p.m.