Triple

T22834595
Position Surface form Disambiguated ID Type / Status
Subject Gmina Solec-Zdrój E565907 entity
Predicate containsSettlement P847 FINISHED
Object Włosnowice
Włosnowice is a village located in the administrative district of Gmina Solec-Zdrój in south-central Poland.
E2038929 NE FINISHED

How this triple was built (2 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: Włosnowice | Statement: [Gmina Solec-Zdrój, containsSettlement, Włosnowice]
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: Włosnowice
Triple: [Gmina Solec-Zdrój, containsSettlement, Włosnowice]
Generated description
Włosnowice is a village located in the administrative district of Gmina Solec-Zdrój in south-central Poland.

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3515ef21dc8190a720da87ed78dd1f completed June 19, 2026, 10:11 a.m.
NEDg Description generation batch_6a3516b1daa08190a21764ce7125ec69 completed June 19, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_6a35172e773881908a625df198825ef0 completed June 19, 2026, 10:17 a.m.
Created at: April 17, 2026, 3:35 p.m.