Triple
T1945079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmia-Masuria region |
E42042
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Lubawa
Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
|
E384466
|
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: Lubawa | Statement: [Warmia-Masuria region, hasMajorCity, Lubawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubawa Context triple: [Warmia-Masuria region, hasMajorCity, Lubawa]
-
A.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
B.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
C.
Lublin
Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
-
D.
Bielsko-Biała
Bielsko-Biała is a city in southern Poland at the foot of the Beskid Mountains, known as a regional industrial and cultural center formed from the historic towns of Bielsko and Biała.
-
E.
Zamość
Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
- 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: Lubawa Triple: [Warmia-Masuria region, hasMajorCity, Lubawa]
Generated description
Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubawa Target entity description: Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
-
A.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
B.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
C.
Lublin
Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
-
D.
Bielsko-Biała
Bielsko-Biała is a city in southern Poland at the foot of the Beskid Mountains, known as a regional industrial and cultural center formed from the historic towns of Bielsko and Biała.
-
E.
Zamość
Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb300af2481908ae359972843c1ef |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dadd801481909551f6ed73e02fc2 |
completed | March 14, 2026, 3:49 a.m. |
| NEDg | Description generation | batch_69b4db4fb0bc8190a5ac2335488500c2 |
completed | March 14, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dbc0370881908a75c594a6d688bf |
completed | March 14, 2026, 3:53 a.m. |
Created at: March 4, 2026, 7:36 p.m.