Triple
T18134144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Łowicz County |
E434092
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Zduny
Zduny is a small town in central Poland located within the administrative district of Łowicz County in the Łódź Voivodeship.
|
E1526463
|
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: Zduny | Statement: [Łowicz County, hasTown, Zduny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zduny Context triple: [Łowicz County, hasTown, Zduny]
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Korczyna
Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian region.
-
C.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
D.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
-
E.
Bodzentyn
Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
- 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: Zduny Triple: [Łowicz County, hasTown, Zduny]
Generated description
Zduny is a small town in central Poland located within the administrative district of Łowicz County in the Łódź Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zduny Target entity description: Zduny is a small town in central Poland located within the administrative district of Łowicz County in the Łódź Voivodeship.
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Korczyna
Korczyna is a village in southeastern Poland, known as a local administrative and residential center within the Subcarpathian region.
-
C.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
D.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
-
E.
Bodzentyn
Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de055c608190a090c2737904e5f9 |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab63e2fd4819096d4267b90f56fff |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab738e6e081909d23bcbcbf3d4abb |
completed | May 18, 2026, 6:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7bb6fbc81909e54be3d1ae98cbf |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 10, 2026, 10:29 a.m.