Triple

T11155547
Position Surface form Disambiguated ID Type / Status
Subject Line B (Mexico City Metro) E263895 entity
Predicate hasStation P35 FINISHED
Object Múzquiz
Múzquiz is a metro station in the Mexico City Metro system, serving passengers on Line B in the northeastern part of the metropolitan area.
E909071 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: Múzquiz | Statement: [Line B (Mexico City Metro), hasStation, Múzquiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Múzquiz
Context triple: [Line B (Mexico City Metro), hasStation, Múzquiz]
  • A. La Quica
    La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
  • B. Zuma
    Zuma is an archaeological site in Sudan’s Napatan region, notable for its ancient Nubian burial mounds and inclusion in the UNESCO-listed Gebel Barkal cultural landscape.
  • C. Zuma
    Zuma is a 1975 rock album by Canadian singer-songwriter Neil Young, known for its blend of electric guitar-driven tracks and reflective acoustic songs created with his band Crazy Horse.
  • D. Zuma
    Zuma is a South African surname most prominently associated with Jacob Zuma, the former President of South Africa.
  • E. Zuma
    Zuma is a playful chocolate Labrador pup from PAW Patrol who serves as the team's water rescue and aquatic expert.
  • 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: Múzquiz
Triple: [Line B (Mexico City Metro), hasStation, Múzquiz]
Generated description
Múzquiz is a metro station in the Mexico City Metro system, serving passengers on Line B in the northeastern part of the metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Múzquiz
Target entity description: Múzquiz is a metro station in the Mexico City Metro system, serving passengers on Line B in the northeastern part of the metropolitan area.
  • A. La Quica
    La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
  • B. Zuma
    Zuma is an archaeological site in Sudan’s Napatan region, notable for its ancient Nubian burial mounds and inclusion in the UNESCO-listed Gebel Barkal cultural landscape.
  • C. Zuma
    Zuma is a 1975 rock album by Canadian singer-songwriter Neil Young, known for its blend of electric guitar-driven tracks and reflective acoustic songs created with his band Crazy Horse.
  • D. Zuma
    Zuma is a South African surname most prominently associated with Jacob Zuma, the former President of South Africa.
  • E. Zuma
    Zuma is a playful chocolate Labrador pup from PAW Patrol who serves as the team's water rescue and aquatic expert.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46341f224819099dd618b377e5bc2 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:28 p.m.