Triple

T7540259
Position Surface form Disambiguated ID Type / Status
Subject Cam Ranh International Airport E178256 entity
Predicate IATAcode P418 FINISHED
Object CXR
CXR is the IATA airport code for Cam Ranh International Airport, a major gateway serving Nha Trang and the surrounding coastal region of Vietnam.
 E672066 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: CXR | Statement: [Cam Ranh International Airport, IATAcode, CXR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CXR
Context triple: [Cam Ranh International Airport, IATAcode, CXR]
  • A. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • B. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • C. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • 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: CXR
Triple: [Cam Ranh International Airport, IATAcode, CXR]
Generated description
CXR is the IATA airport code for Cam Ranh International Airport, a major gateway serving Nha Trang and the surrounding coastal region of Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CXR
Target entity description: CXR is the IATA airport code for Cam Ranh International Airport, a major gateway serving Nha Trang and the surrounding coastal region of Vietnam.
  • A. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • B. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • C. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f873b17081908bb70aea0010d072 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853bc094c8190ba4e7ecb069c2c02 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c85412e6308190893a500e2395bd94 completed March 28, 2026, 10:20 p.m.
Created at: March 27, 2026, 3:48 p.m.