Triple

T1258824
Position Surface form Disambiguated ID Type / Status
Subject Royal Jordanian E12452 entity
Predicate IATAcode P418 FINISHED
Object RJ
RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
 E143159 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: RJ | Statement: [Royal Jordanian, IATAcode, RJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RJ
Context triple: [Royal Jordanian, IATAcode, RJ]
  • A. 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.
  • B. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • C. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • D. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • E. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • 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: RJ
Triple: [Royal Jordanian, IATAcode, RJ]
Generated description
RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RJ
Target entity description: RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • A. 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.
  • B. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • C. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • D. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • E. Ren
    Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94c0e6548190a2d40e3ac1a279ce completed March 7, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69ac9531c2f08190b570fcb7b035ea87 completed March 7, 2026, 9:14 p.m.
Created at: March 1, 2026, 7:50 p.m.