Triple
T2830890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lublin Voivodeship |
E62231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nałęczów
Nałęczów is a Polish spa town renowned for its therapeutic mineral waters, health resorts, and picturesque location in eastern Poland.
|
E412047
|
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: Nałęczów | Statement: [Lublin Voivodeship, contains, Nałęczów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nałęczów Context triple: [Lublin Voivodeship, contains, Nałęczów]
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Zułowo
Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
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.
-
E.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
- 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: Nałęczów Triple: [Lublin Voivodeship, contains, Nałęczów]
Generated description
Nałęczów is a Polish spa town renowned for its therapeutic mineral waters, health resorts, and picturesque location in eastern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nałęczów Target entity description: Nałęczów is a Polish spa town renowned for its therapeutic mineral waters, health resorts, and picturesque location in eastern Poland.
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Zułowo
Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
-
C.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
D.
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.
-
E.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b217af0819084d8aed695b8377b |
completed | March 14, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69b56bdcfa94819096df212e6e99937e |
completed | March 14, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56c5e73e88190896176180a9e58cd |
completed | March 14, 2026, 2:10 p.m. |
Created at: March 6, 2026, 10:01 p.m.