Triple

T20671615
Position Surface form Disambiguated ID Type / Status
Subject Gmina Busko-Zdrój E508037 entity
Predicate contains P35 FINISHED
Object Dobrowoda
Dobrowoda is a village located within the administrative district of Gmina Busko-Zdrój in south-central Poland.
 E1444814 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: Dobrowoda | Statement: [Gmina Busko-Zdrój, contains, Dobrowoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobrowoda
Context triple: [Gmina Busko-Zdrój, contains, Dobrowoda]
  • A. Krowodrza
    Krowodrza is a central district of Kraków, Poland, known for its mix of historic urban neighborhoods, academic institutions, and cultural venues.
  • B. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • D. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • E. Chodzież
    Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
  • 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: Dobrowoda
Triple: [Gmina Busko-Zdrój, contains, Dobrowoda]
Generated description
Dobrowoda is a village located within the administrative district of Gmina Busko-Zdrój in south-central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobrowoda
Target entity description: Dobrowoda is a village located within the administrative district of Gmina Busko-Zdrój in south-central Poland.
  • A. Krowodrza
    Krowodrza is a central district of Kraków, Poland, known for its mix of historic urban neighborhoods, academic institutions, and cultural venues.
  • B. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • D. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • E. Chodzież
    Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c92aa8819096fbe0ca5101d01b completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd64aa4081908cf843a32e99ae01 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.