Triple

T14790330
Position Surface form Disambiguated ID Type / Status
Subject MGN E347636 entity
Predicate ICAOCode P419 FINISHED
Object KMGN
KMGN is the ICAO airport code for Harbor Springs Municipal Airport in Harbor Springs, Michigan, United States.
E1120161 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: KMGN | Statement: [MGN, ICAOCode, KMGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMGN
Context triple: [MGN, ICAOCode, KMGN]
  • A. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • B. KRMN
    KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
  • C. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • D. KNBG
    KNBG is the ICAO airport code for Naval Air Station Joint Reserve Base New Orleans, a U.S. military airfield near New Orleans, Louisiana.
  • E. KMDA
    KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
  • 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: KMGN
Triple: [MGN, ICAOCode, KMGN]
Generated description
KMGN is the ICAO airport code for Harbor Springs Municipal Airport in Harbor Springs, Michigan, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMGN
Target entity description: KMGN is the ICAO airport code for Harbor Springs Municipal Airport in Harbor Springs, Michigan, United States.
  • A. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • B. KRMN
    KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
  • C. KMTN
    KMTN is the ICAO airport code for Martin State Airport, a public airport located near Baltimore, Maryland, in the United States.
  • D. KNBG
    KNBG is the ICAO airport code for Naval Air Station Joint Reserve Base New Orleans, a U.S. military airfield near New Orleans, Louisiana.
  • E. KMDA
    KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5d134c819080ee788b2e34163a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bc8464819096b019f1e927d1a9 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe27e699688190952b6a4b922e3294 completed May 8, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69fe2896057881908b3947d9649739e7 completed May 8, 2026, 6:16 p.m.
Created at: April 10, 2026, 1:31 a.m.