Triple
T1945109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmia-Masuria region |
E42042
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Miłomłyn
Miłomłyn is a small town in northern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
|
E222333
|
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: Miłomłyn | Statement: [Warmia-Masuria region, hasMajorCity, Miłomłyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miłomłyn Context triple: [Warmia-Masuria region, hasMajorCity, Miłomłyn]
-
A.
Młynary
Młynary is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
E.
Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
- 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: Miłomłyn Triple: [Warmia-Masuria region, hasMajorCity, Miłomłyn]
Generated description
Miłomłyn is a small town in northern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miłomłyn Target entity description: Miłomłyn is a small town in northern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
-
A.
Młynary
Młynary is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship.
-
B.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Radziejowa
Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
-
E.
Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
- 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_69ae03180a248190a0df96066923728a |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03b41dcc81909b4439006bdffc64 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae044314188190a7472cf5f8e89f6c |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:36 p.m.