Triple

T9007285
Position Surface form Disambiguated ID Type / Status
Subject Mihail Kogălniceanu International Airport E215375 entity
Predicate ICAOcode P419 FINISHED
Object LRCK
LRCK is the ICAO airport code for Mihail Kogălniceanu International Airport, a major air transport hub near Constanța, Romania.
 E770776 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: LRCK | Statement: [Mihail Kogălniceanu International Airport, ICAOcode, LRCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LRCK
Context triple: [Mihail Kogălniceanu International Airport, ICAOcode, LRCK]
  • A. CRK
    CRK is the IATA airport code for Clark International Airport, a major aviation hub located in Pampanga, Philippines.
  • B. KLCK
    KLCK is the ICAO airport code for Rickenbacker International Airport, a cargo-focused and military-use airport near Columbus, Ohio.
  • C. LRCL
    LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
  • D. CRCL
    CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
  • E. LCR
    LCR is the commonly used abbreviation for the Leeds City Region, a major economic and metropolitan area in West Yorkshire, England.
  • 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: LRCK
Triple: [Mihail Kogălniceanu International Airport, ICAOcode, LRCK]
Generated description
LRCK is the ICAO airport code for Mihail Kogălniceanu International Airport, a major air transport hub near Constanța, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LRCK
Target entity description: LRCK is the ICAO airport code for Mihail Kogălniceanu International Airport, a major air transport hub near Constanța, Romania.
  • A. CRK
    CRK is the IATA airport code for Clark International Airport, a major aviation hub located in Pampanga, Philippines.
  • B. KLCK
    KLCK is the ICAO airport code for Rickenbacker International Airport, a cargo-focused and military-use airport near Columbus, Ohio.
  • C. LRCL
    LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
  • D. CRCL
    CRCL is the Office for Civil Rights and Civil Liberties within the U.S. Department of Homeland Security, responsible for ensuring that civil rights and civil liberties are protected in the department’s policies and activities.
  • E. LCR
    LCR is the commonly used abbreviation for the Leeds City Region, a major economic and metropolitan area in West Yorkshire, England.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bdc5fc819081015f4adacf9fd4 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e7f090819093c7af51c3979978 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd17e5850819087fbb60fdc612fd9 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd215204c8190886cc071f100aab6 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:05 p.m.