Triple

T3750062
Position Surface form Disambiguated ID Type / Status
Subject Châlons Vatry Airport E81306 entity
Predicate IATAcode P418 FINISHED
Object XCR
XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
 E383706 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: XCR | Statement: [Châlons Vatry Airport, IATAcode, XCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XCR
Context triple: [Châlons Vatry Airport, IATAcode, XCR]
  • A. XRX
    XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
  • B. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • C. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • D. X-32
    X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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: XCR
Triple: [Châlons Vatry Airport, IATAcode, XCR]
Generated description
XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XCR
Target entity description: XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
  • A. XRX
    XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
  • B. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • C. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • D. X-32
    X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db31f964819087bab143f638754f completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbbc23f08190a03ef4e4197398a4 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dcac6fdc81908998415ffe1aabaa completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:35 p.m.