Triple

T1958786
Position Surface form Disambiguated ID Type / Status
Subject Metro Miguel Ángel de Quevedo E42332 entity
Predicate code P1537 FINISHED
Object MQD
MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
 E218790 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: MQD | Statement: [Metro Miguel Ángel de Quevedo, code, MQD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQD
Context triple: [Metro Miguel Ángel de Quevedo, code, MQD]
  • A. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • B. MTQ
    MTQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Martinique, an overseas region of France in the Caribbean.
  • C. MAQ
    MAQ is the IATA airport code for Mae Sot Airport, which serves the town of Mae Sot in western Thailand near the Myanmar border.
  • D. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • E. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • 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: MQD
Triple: [Metro Miguel Ángel de Quevedo, code, MQD]
Generated description
MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQD
Target entity description: MQD is the station code for Metro Miguel Ángel de Quevedo, a stop on Mexico City’s metro system.
  • A. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • B. MTQ
    MTQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Martinique, an overseas region of France in the Caribbean.
  • C. MAQ
    MAQ is the IATA airport code for Mae Sot Airport, which serves the town of Mae Sot in western Thailand near the Myanmar border.
  • D. MQ
    MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • E. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37e21cc8190b6e13b86bc93d594 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbcc9ba48190985f48dbef1f2d94 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.