Triple

T7994701
Position Surface form Disambiguated ID Type / Status
Subject Qeshm International Airport E186093 entity
Predicate IATA code P2569 FINISHED
Object GSM
GSM is the three-letter IATA airport code assigned to Qeshm International Airport in Iran.
 E703825 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: GSM | Statement: [Qeshm International Airport, IATA code, GSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSM
Context triple: [Qeshm International Airport, IATA code, GSM]
  • A. GSM
    GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
  • B. GSM
    GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
  • C. GPRS
    GPRS (General Packet Radio Service) is a mobile data standard that enables packet-switched internet and multimedia services over 2G and 3G cellular networks.
  • D. GSM-R
    GSM-R is a digital radio communication system used across European railways to provide secure voice and data links between trains and railway control centers.
  • E. D-AMPS
    D-AMPS (Digital Advanced Mobile Phone System) is a second-generation (2G) digital mobile telephony standard that evolved from the analog AMPS system to provide improved capacity and voice quality.
  • 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: GSM
Triple: [Qeshm International Airport, IATA code, GSM]
Generated description
GSM is the three-letter IATA airport code assigned to Qeshm International Airport in Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSM
Target entity description: GSM is the three-letter IATA airport code assigned to Qeshm International Airport in Iran.
  • A. GSM
    GSM is a second-generation (2G) digital mobile communication standard that became the global foundation for cellular voice and basic data services.
  • B. GSM
    GSM is the common abbreviation for Great St Mary’s Church, the historic University Church located in the center of Cambridge, England.
  • C. GPRS
    GPRS (General Packet Radio Service) is a mobile data standard that enables packet-switched internet and multimedia services over 2G and 3G cellular networks.
  • D. GSM-R
    GSM-R is a digital radio communication system used across European railways to provide secure voice and data links between trains and railway control centers.
  • E. D-AMPS
    D-AMPS (Digital Advanced Mobile Phone System) is a second-generation (2G) digital mobile telephony standard that evolved from the analog AMPS system to provide improved capacity and voice quality.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe105d400819096ba271416bb24e7 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:17 p.m.