Triple

T13664946
Position Surface form Disambiguated ID Type / Status
Subject Rutland–Southern Vermont Regional Airport E327092 entity
Predicate ICAOCode P419 FINISHED
Object KRUT
KRUT is the ICAO airport code for Rutland–Southern Vermont Regional Airport, a public airport serving the Rutland region in Vermont, United States.
 E1053497 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: KRUT | Statement: [Rutland–Southern Vermont Regional Airport, ICAOCode, KRUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KRUT
Context triple: [Rutland–Southern Vermont Regional Airport, ICAOCode, KRUT]
  • A. KrU
    KrU is the abbreviated name of the Committee on Cultural Affairs, a governmental body responsible for matters related to culture and cultural policy.
  • B. Krut
    Krut is the Thai name for Garuda, the mythical bird-like creature that serves as a powerful divine mount and national emblem in various Southeast Asian cultures.
  • C. KRIV
    KRIV is a Fox-owned television station serving the Houston, Texas market.
  • D. KRIV
    KRIV is the ICAO airport code for March Air Reserve Base, a major U.S. Air Force installation in Riverside County, California.
  • E. KRU
    KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
  • 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: KRUT
Triple: [Rutland–Southern Vermont Regional Airport, ICAOCode, KRUT]
Generated description
KRUT is the ICAO airport code for Rutland–Southern Vermont Regional Airport, a public airport serving the Rutland region in Vermont, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KRUT
Target entity description: KRUT is the ICAO airport code for Rutland–Southern Vermont Regional Airport, a public airport serving the Rutland region in Vermont, United States.
  • A. KrU
    KrU is the abbreviated name of the Committee on Cultural Affairs, a governmental body responsible for matters related to culture and cultural policy.
  • B. Krut
    Krut is the Thai name for Garuda, the mythical bird-like creature that serves as a powerful divine mount and national emblem in various Southeast Asian cultures.
  • C. KRIV
    KRIV is a Fox-owned television station serving the Houston, Texas market.
  • D. KRIV
    KRIV is the ICAO airport code for March Air Reserve Base, a major U.S. Air Force installation in Riverside County, California.
  • E. KRU
    KRU is a German vehicle registration code assigned to the district of Günzburg in the state of Bavaria.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78cdf1a74819087b0370060ddfa99 completed May 3, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69f78e00007c81909007a751fd4625c2 completed May 3, 2026, 6:03 p.m.
Created at: April 9, 2026, 9:52 p.m.