Triple

T6148229
Position Surface form Disambiguated ID Type / Status
Subject Chinggis Khaan International Airport E137132 entity
Predicate ICAOcode P419 FINISHED
Object ZMCK
ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
 E572247 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: ZMCK | Statement: [Chinggis Khaan International Airport, ICAOcode, ZMCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZMCK
Context triple: [Chinggis Khaan International Airport, ICAOcode, ZMCK]
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • D. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • E. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • 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: ZMCK
Triple: [Chinggis Khaan International Airport, ICAOcode, ZMCK]
Generated description
ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZMCK
Target entity description: ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • D. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • E. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce07fb081909278088e9e2e2959 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13603730881909b3991c7262509b5 completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c139f6f11c81909eb0b2ab809de079 completed March 23, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69c13a5f53ec8190be24f37fc5fb7f32 completed March 23, 2026, 1:04 p.m.
Created at: March 22, 2026, 4:16 p.m.