Triple

T1855035
Position Surface form Disambiguated ID Type / Status
Subject Yamal Airlines E41681 entity
Predicate operatesTo P6304 FINISHED
Object Nojabrxsk
Nojabrxsk is a town in the Yamalo-Nenets Autonomous Okrug of Russia known for its role in the region’s oil and gas industry.
 E207524 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: Nojabrxsk | Statement: [Yamal Airlines, operatesTo, Nojabrxsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nojabrxsk
Context triple: [Yamal Airlines, operatesTo, Nojabrxsk]
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • C. NAX
    NAX is the ICAO airline designator used for Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • D. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. Opbrakel
    Opbrakel is a village that forms part of the municipality of Brakel in East Flanders, Belgium.
  • 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: Nojabrxsk
Triple: [Yamal Airlines, operatesTo, Nojabrxsk]
Generated description
Nojabrxsk is a town in the Yamalo-Nenets Autonomous Okrug of Russia known for its role in the region’s oil and gas industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nojabrxsk
Target entity description: Nojabrxsk is a town in the Yamalo-Nenets Autonomous Okrug of Russia known for its role in the region’s oil and gas industry.
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • C. NAX
    NAX is the ICAO airline designator used for Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • D. NBO
    NBO is the IATA airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. Opbrakel
    Opbrakel is a village that forms part of the municipality of Brakel in East Flanders, Belgium.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c89bdc8190acf517a7731fa5c7 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32803a48190b8ff08c605790f22 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:33 p.m.