Triple

T19822324
Position Surface form Disambiguated ID Type / Status
Subject AIK Fotboll E476225 entity
Predicate nickname P55 FINISHED
Object Gnaget
Gnaget is the popular nickname of AIK Fotboll, one of Sweden’s most traditional and widely supported football clubs.
 E1397449 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: Gnaget | Statement: [AIK Fotboll, nickname, Gnaget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gnaget
Context triple: [AIK Fotboll, nickname, Gnaget]
  • A. Gnaar
    Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
  • B. Gevaot
    Gevaot is an Israeli settlement in the Gush Etzion bloc of the West Bank, known for its strategic location and political significance in the Israeli–Palestinian conflict.
  • C. Gagata
    Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
  • D. Gogot
    Gogot is a dialect of the Eastern Gurage branch of the Semitic languages spoken in Ethiopia.
  • E. Gulpen
    Gulpen is a village in the hilly Limburg region of the Netherlands, known for its scenic landscapes, historic center, and local brewery culture.
  • 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: Gnaget
Triple: [AIK Fotboll, nickname, Gnaget]
Generated description
Gnaget is the popular nickname of AIK Fotboll, one of Sweden’s most traditional and widely supported football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gnaget
Target entity description: Gnaget is the popular nickname of AIK Fotboll, one of Sweden’s most traditional and widely supported football clubs.
  • A. Gnaar
    Gnaar is a one-eyed, horned alien creature that serves as one of the most iconic and frequently encountered enemies in the Serious Sam video game series.
  • B. Gevaot
    Gevaot is an Israeli settlement in the Gush Etzion bloc of the West Bank, known for its strategic location and political significance in the Israeli–Palestinian conflict.
  • C. Gagata
    Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
  • D. Gogot
    Gogot is a dialect of the Eastern Gurage branch of the Semitic languages spoken in Ethiopia.
  • E. Gulpen
    Gulpen is a village in the hilly Limburg region of the Netherlands, known for its scenic landscapes, historic center, and local brewery culture.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd22b448190b447c893ee9ffd83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cfe19c288190b360d1767e8fffa3 completed May 16, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0c1cbc08190bffbc27457117b82 completed May 16, 2026, 2:04 a.m.
Created at: April 10, 2026, 1:50 p.m.