Triple

T10538833
Position Surface form Disambiguated ID Type / Status
Subject French Valley Airport E248641 entity
Predicate IATA code P2569 FINISHED
Object RBK
RBK is the three-letter IATA airport code assigned to French Valley Airport in Riverside County, California.
E869912 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: RBK | Statement: [French Valley Airport, IATA code, RBK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RBK
Context triple: [French Valley Airport, IATA code, RBK]
  • A. RBK
    RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
  • B. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • C. RAK
    RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • D. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • E. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary 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: RBK
Triple: [French Valley Airport, IATA code, RBK]
Generated description
RBK is the three-letter IATA airport code assigned to French Valley Airport in Riverside County, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RBK
Target entity description: RBK is the three-letter IATA airport code assigned to French Valley Airport in Riverside County, California.
  • A. RBK
    RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
  • B. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • C. RAK
    RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • D. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • E. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5730d88190b266a940faf53f65 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:31 p.m.