Triple

T26938023
Position Surface form Disambiguated ID Type / Status
Subject Domžale E678437 entity
Predicate hasSportsHall P12831 FINISHED
Object Športna dvorana Domžale
Športna dvorana Domžale is a multi-purpose indoor sports arena in the town of Domžale, Slovenia, primarily used for basketball and other indoor sporting events.
 E1746503 NE FINISHED

How this triple was built (3 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: Športna dvorana Domžale | Statement: [Domžale, hasSportsHall, Športna dvorana Domžale]
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: Športna dvorana Domžale
Triple: [Domžale, hasSportsHall, Športna dvorana Domžale]
Generated description
Športna dvorana Domžale is a multi-purpose indoor sports arena in the town of Domžale, Slovenia, primarily used for basketball and other indoor sporting events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSportsHall
Context triple: [Domžale, hasSportsHall, Športna dvorana Domžale]
  • A. isPartOfSportsVenue
    Indicates that one entity is a component, section, or area contained within a larger sports venue.
  • B. hasBallcourt
    Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
  • C. mainIndoorArena chosen
    Indicates that one entity serves as the primary indoor arena or main covered venue associated with another entity.
  • D. hasSportsVenueType
    Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
  • E. sportsFacility
    Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
  • F. None of above.

Provenance (6 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_69eeeb4d69588190a7c912164a1c37b3 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a121ec47efc81909b1a297f00e68daa completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a121f5c372481909cfd4c5ebc39f5ea completed May 23, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a122004aadc819084dbaa834408a0bc completed May 23, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 27, 2026, 6:16 a.m.