Triple
T2221451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Modlin Airport |
E48149
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Nowy Dwór Mazowiecki
Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
|
E405547
|
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: Nowy Dwór Mazowiecki | Statement: [Warsaw Modlin Airport, locatedIn, Nowy Dwór Mazowiecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nowy Dwór Mazowiecki Context triple: [Warsaw Modlin Airport, locatedIn, Nowy Dwór Mazowiecki]
-
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.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
C.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
D.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
E.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
- 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: Nowy Dwór Mazowiecki Triple: [Warsaw Modlin Airport, locatedIn, Nowy Dwór Mazowiecki]
Generated description
Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nowy Dwór Mazowiecki Target entity description: Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
-
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.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
C.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
D.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
E.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0156c8c819083e3e3b6ede1e951 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c0e702081909384b804fb1ade90 |
completed | March 14, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69b54c93863c819099e1a8d5bce2dced |
completed | March 14, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d853f3881909f6ab8b83ad0e064 |
completed | March 14, 2026, 11:59 a.m. |
Created at: March 4, 2026, 7:47 p.m.