Triple

T11619714
Position Surface form Disambiguated ID Type / Status
Subject Mount Pleasant Municipal Airport E275605 entity
Predicate ICAOCode P419 FINISHED
Object KMOP
KMOP is the ICAO airport code for Mount Pleasant Municipal Airport in Michigan, United States.
E938081 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: KMOP | Statement: [Mount Pleasant Municipal Airport, ICAOCode, KMOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMOP
Context triple: [Mount Pleasant Municipal Airport, ICAOCode, KMOP]
  • A. KMJ
    KMJ is the three-letter IATA airport code for Kumamoto Airport in Kumamoto Prefecture, Japan.
  • B. KMJS
    KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
  • C. KMOB
    KMOB is the ICAO airport code for Mobile Regional Airport in Mobile, Alabama, United States.
  • D. KMF
    KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
  • E. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • 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: KMOP
Triple: [Mount Pleasant Municipal Airport, ICAOCode, KMOP]
Generated description
KMOP is the ICAO airport code for Mount Pleasant Municipal Airport in Michigan, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMOP
Target entity description: KMOP is the ICAO airport code for Mount Pleasant Municipal Airport in Michigan, United States.
  • A. KMJ
    KMJ is the three-letter IATA airport code for Kumamoto Airport in Kumamoto Prefecture, Japan.
  • B. KMJS
    KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
  • C. KMOB
    KMOB is the ICAO airport code for Mobile Regional Airport in Mobile, Alabama, United States.
  • D. KMF
    KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
  • E. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee874fe11c81908b9d3a996bcc51d2 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:38 p.m.