Triple
T6115387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pińczów County |
E136347
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Działoszyce
Działoszyce is a small historic town in south-central Poland, known for its former Jewish community and traditional urban layout.
|
E733950
|
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: Działoszyce | Statement: [Pińczów County, containsAdministrativeTerritorialEntity, Działoszyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Działoszyce Context triple: [Pińczów County, containsAdministrativeTerritorialEntity, Działoszyce]
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Wilczyce
Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
-
C.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
-
D.
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.
-
E.
Sułoszowa
Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
- 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: Działoszyce Triple: [Pińczów County, containsAdministrativeTerritorialEntity, Działoszyce]
Generated description
Działoszyce is a small historic town in south-central Poland, known for its former Jewish community and traditional urban layout.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Działoszyce Target entity description: Działoszyce is a small historic town in south-central Poland, known for its former Jewish community and traditional urban layout.
-
A.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
B.
Wilczyce
Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
-
C.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
-
D.
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.
-
E.
Sułoszowa
Sułoszowa is a village in southern Poland known for its unusually long, single-street layout and traditional rural character.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1c351f848190a1f91a09f7319a01 |
completed | April 2, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_69ce1e6e83008190a4c2f796928882c1 |
completed | April 2, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f3d46f48190be7b494e808a70f9 |
completed | April 2, 2026, 7:48 a.m. |
Created at: March 22, 2026, 4:14 p.m.