Triple

T20798304
Position Surface form Disambiguated ID Type / Status
Subject Trønderbanen E511970 entity
Predicate ticketSystem P25925 FINISHED
Object Entur
Entur is a Norwegian state-owned company that provides a nationwide platform for public transport ticketing and travel planning.
E1451256 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: Entur | Statement: [Trønderbanen, ticketSystem, Entur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entur
Context triple: [Trønderbanen, ticketSystem, Entur]
  • A. Yetûr
    Yetûr is a transliterated form of the biblical name Jetur, one of the descendants of Ishmael mentioned in the Hebrew Bible.
  • B. Entissar
    Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
  • C. Andul
    Andul is a suburban town in the Howrah district of West Bengal, India, known for its historical temples and proximity to Kolkata.
  • D. Ennesi
    Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
  • E. Ataroth
    Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
  • 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: Entur
Triple: [Trønderbanen, ticketSystem, Entur]
Generated description
Entur is a Norwegian state-owned company that provides a nationwide platform for public transport ticketing and travel planning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Entur
Target entity description: Entur is a Norwegian state-owned company that provides a nationwide platform for public transport ticketing and travel planning.
  • A. Yetûr
    Yetûr is a transliterated form of the biblical name Jetur, one of the descendants of Ishmael mentioned in the Hebrew Bible.
  • B. Entissar
    Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
  • C. Andul
    Andul is a suburban town in the Howrah district of West Bengal, India, known for its historical temples and proximity to Kolkata.
  • D. Ennesi
    Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
  • E. Ataroth
    Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8c11b348190a15c80b400486e59 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9c9314c81909052d1a2e93d740a completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa7040d88190b592d4f46249c2c1 completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:39 p.m.