Triple

T15753299
Position Surface form Disambiguated ID Type / Status
Subject Vipava Valley E381900 entity
Predicate containsSettlement P847 FINISHED
Object Lože
Lože is a small village in western Slovenia known for its winegrowing tradition and picturesque setting in the Vipava Valley.
 E1175867 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: Lože | Statement: [Vipava Valley, containsSettlement, Lože]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lože
Context triple: [Vipava Valley, containsSettlement, Lože]
  • A. Dramalj
    Dramalj is a coastal village and tourist resort on the Adriatic Sea in Croatia, situated near the town of Crikvenica.
  • B. Vijećnica
    Vijećnica is the historic neo-Moorish landmark in Sarajevo that served as the city hall and later as the National and University Library of Bosnia and Herzegovina.
  • C. Zavet
    Zavet is a small town and municipal center located in northeastern Bulgaria.
  • D. Llavorsí
    Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
  • E. Grojec
    Grojec is a village in southern Poland located in the Lesser Poland region, historically associated with the area around Oświęcim.
  • 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: Lože
Triple: [Vipava Valley, containsSettlement, Lože]
Generated description
Lože is a small village in western Slovenia known for its winegrowing tradition and picturesque setting in the Vipava Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lože
Target entity description: Lože is a small village in western Slovenia known for its winegrowing tradition and picturesque setting in the Vipava Valley.
  • A. Dramalj
    Dramalj is a coastal village and tourist resort on the Adriatic Sea in Croatia, situated near the town of Crikvenica.
  • B. Vijećnica
    Vijećnica is the historic neo-Moorish landmark in Sarajevo that served as the city hall and later as the National and University Library of Bosnia and Herzegovina.
  • C. Zavet
    Zavet is a small town and municipal center located in northeastern Bulgaria.
  • D. Llavorsí
    Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
  • E. Grojec
    Grojec is a village in southern Poland located in the Lesser Poland region, historically associated with the area around Oświęcim.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b5fb4708190ab83653817f7b44e completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8c1cc6a081908d09e73b5d219b05 completed May 9, 2026, 7:33 p.m.
Created at: April 10, 2026, 4:47 a.m.