Triple

T15552227
Position Surface form Disambiguated ID Type / Status
Subject Jazeera Airways E370776 entity
Predicate ICAOCode P419 FINISHED
Object JZR
JZR is the three-letter ICAO airline designator assigned to Jazeera Airways, a Kuwaiti low-cost carrier.
 E1163609 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: JZR | Statement: [Jazeera Airways, ICAOCode, JZR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JZR
Context triple: [Jazeera Airways, ICAOCode, JZR]
  • A. JR
    JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
  • B. JR
    JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
  • C. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • D. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • E. J5
    J5 is the U.S. military staff directorate responsible for developing long-range strategic plans and policy.
  • 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: JZR
Triple: [Jazeera Airways, ICAOCode, JZR]
Generated description
JZR is the three-letter ICAO airline designator assigned to Jazeera Airways, a Kuwaiti low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JZR
Target entity description: JZR is the three-letter ICAO airline designator assigned to Jazeera Airways, a Kuwaiti low-cost carrier.
  • A. JR
    JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
  • B. JR
    JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
  • C. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • D. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • E. J5
    J5 is the U.S. military staff directorate responsible for developing long-range strategic plans and policy.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff47aa0bb081908f67e9dae9bc7b27 completed May 9, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff480d81b881908eb3a51f1e7280b0 completed May 9, 2026, 2:43 p.m.
Created at: April 10, 2026, 4:08 a.m.