Triple

T8674083
Position Surface form Disambiguated ID Type / Status
Subject Michael J. Smith Field E205870 entity
Predicate ICAOAirportCode P419 FINISHED
Object KMRH
KMRH is the ICAO airport code for Michael J. Smith Field, a public airport serving Morehead City in North Carolina, United States.
 E749105 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: KMRH | Statement: [Michael J. Smith Field, ICAOAirportCode, KMRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMRH
Context triple: [Michael J. Smith Field, ICAOAirportCode, KMRH]
  • A. KRMN
    KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • D. KORH
    KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
  • E. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, 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: KMRH
Triple: [Michael J. Smith Field, ICAOAirportCode, KMRH]
Generated description
KMRH is the ICAO airport code for Michael J. Smith Field, a public airport serving Morehead City in North Carolina, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMRH
Target entity description: KMRH is the ICAO airport code for Michael J. Smith Field, a public airport serving Morehead City in North Carolina, United States.
  • A. KRMN
    KRMN is the ICAO airport code for Stafford Regional Airport, a public-use airport serving the Stafford, Virginia area in the United States.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • D. KORH
    KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
  • E. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69ceceaab52c819082ecea1bcc38def8 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf962f28819090fb93b6a7a2784b completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.