Triple

T21545508
Position Surface form Disambiguated ID Type / Status
Subject Kringsjå student village E531612 entity
Predicate operatedBy P86 FINISHED
Object SiO
SiO is the student welfare organization in Oslo that provides housing, health, and support services for students.
 E1490680 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: SiO | Statement: [Kringsjå student village, operatedBy, SiO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SiO
Context triple: [Kringsjå student village, operatedBy, SiO]
  • A. Siocon
    Siocon is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and agricultural activities.
  • B. Siligo
    Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • C. SIRO
    SIRO is a lifestyle hotel and fitness brand developed by Kerzner International that focuses on immersive wellness, performance, and recovery experiences for guests.
  • D. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • E. SILE
    SILE is a modern typesetting system and document processor designed as a more flexible, programmable successor to traditional TeX-based workflows.
  • 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: SiO
Triple: [Kringsjå student village, operatedBy, SiO]
Generated description
SiO is the student welfare organization in Oslo that provides housing, health, and support services for students.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SiO
Target entity description: SiO is the student welfare organization in Oslo that provides housing, health, and support services for students.
  • A. Siocon
    Siocon is a coastal municipality in the province of Zamboanga del Norte in the Philippines, known for its fishing industry and agricultural activities.
  • B. Siligo
    Siligo is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • C. SIRO
    SIRO is a lifestyle hotel and fitness brand developed by Kerzner International that focuses on immersive wellness, performance, and recovery experiences for guests.
  • D. Si
    Si is one of the mischievous Siamese cats from Disney’s animated film "Lady and the Tramp," known for causing trouble with her twin, Am.
  • E. SILE
    SILE is a modern typesetting system and document processor designed as a more flexible, programmable successor to traditional TeX-based workflows.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eedd845c819082acae7e6cd29f56 completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09ef7271e081908a1cd70297376ae3 completed May 17, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a09f00ec300819082ee644a512a9cdf completed May 17, 2026, 4:42 p.m.
Created at: April 16, 2026, 6:28 p.m.