Triple

T7954145
Position Surface form Disambiguated ID Type / Status
Subject Felipe Ángeles International Airport E184688 entity
Predicate ICAOcode P419 FINISHED
Object MMSM
MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
 E705137 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: MMSM | Statement: [Felipe Ángeles International Airport, ICAOcode, MMSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMSM
Context triple: [Felipe Ángeles International Airport, ICAOcode, MMSM]
  • A. DMSM
    The DMSM is a high-level U.S. military decoration awarded for exceptionally meritorious non-combat service in a joint duty capacity.
  • B. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • C. MMS
    MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
  • D. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • E. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • 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: MMSM
Triple: [Felipe Ángeles International Airport, ICAOcode, MMSM]
Generated description
MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMSM
Target entity description: MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • A. DMSM
    The DMSM is a high-level U.S. military decoration awarded for exceptionally meritorious non-combat service in a joint duty capacity.
  • B. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • C. MMS
    MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
  • D. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • E. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe05d89a08190ae5bd4092d007442 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:11 p.m.