Triple

T11828884
Position Surface form Disambiguated ID Type / Status
Subject Cavern City Air Terminal E281329 entity
Predicate IATAcode P418 FINISHED
Object CNM
CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
 E949995 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: CNM | Statement: [Cavern City Air Terminal, IATAcode, CNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNM
Context triple: [Cavern City Air Terminal, IATAcode, CNM]
  • A. CNM
    CNM is the National Rail station code for Cheltenham Spa railway station in Gloucestershire, England.
  • B. CNM
    CNM is a public community college in Albuquerque, New Mexico, offering a wide range of associate degrees, certificates, and workforce training programs.
  • C. NMMNHS
    NMMNHS is a museum in Albuquerque dedicated to preserving and interpreting New Mexico’s natural history and scientific heritage through exhibits, research, and educational programs.
  • D. NMH
    NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
  • E. CNU
    CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
  • 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: CNM
Triple: [Cavern City Air Terminal, IATAcode, CNM]
Generated description
CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNM
Target entity description: CNM is the IATA airport code for Cavern City Air Terminal, a public airport serving Carlsbad, New Mexico, near Carlsbad Caverns National Park.
  • A. CNM
    CNM is the National Rail station code for Cheltenham Spa railway station in Gloucestershire, England.
  • B. CNM
    CNM is a public community college in Albuquerque, New Mexico, offering a wide range of associate degrees, certificates, and workforce training programs.
  • C. NMMNHS
    NMMNHS is a museum in Albuquerque dedicated to preserving and interpreting New Mexico’s natural history and scientific heritage through exhibits, research, and educational programs.
  • D. NMH
    NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
  • E. CNU
    CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f170034b488190a6976d3333823caa completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17805325881908b98eb9c8fc59778 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.