Triple
T3822739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuszów Narodowy |
E88612
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
|
E527482
|
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: Mielec | Statement: [Tuszów Narodowy, locatedNear, Mielec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mielec Context triple: [Tuszów Narodowy, locatedNear, Mielec]
-
A.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
-
B.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
C.
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.
-
D.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
E.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
- 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: Mielec Triple: [Tuszów Narodowy, locatedNear, Mielec]
Generated description
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mielec Target entity description: Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
-
A.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
-
B.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
C.
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.
-
D.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
E.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea63fe2c8190825f6e9451f6aa50 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfea8f024481908fdcded2ccb948e7 |
completed | March 22, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69bfeaff75208190a5919c4f901a82ab |
completed | March 22, 2026, 1:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfeb5a4b848190b59fc83db131a145 |
completed | March 22, 2026, 1:15 p.m. |
Created at: March 9, 2026, 3:17 p.m.