Triple

T4481968
Position Surface form Disambiguated ID Type / Status
Subject Line 12 (Mexico City Metro) E100154 entity
Predicate hasStation P35 FINISHED
Object Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
E444815 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: Tezonco | Statement: [Line 12 (Mexico City Metro), hasStation, Tezonco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tezonco
Context triple: [Line 12 (Mexico City Metro), hasStation, Tezonco]
  • A. Atzacan
    Atzacan is a municipality in the Mexican state of Veracruz that forms part of the greater Orizaba metropolitan region.
  • B. Ajusco
    Ajusco is a prominent volcanic mountain and national park in southern Mexico City, known for its high elevation, forests, and popular outdoor recreation areas.
  • C. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • D. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • E. Tajín Chico
    Tajín Chico is an elevated ceremonial and administrative complex within the ancient Mesoamerican city of El Tajín, notable for its palaces, pyramids, and elite architecture.
  • 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: Tezonco
Triple: [Line 12 (Mexico City Metro), hasStation, Tezonco]
Generated description
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tezonco
Target entity description: Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • A. Atzacan
    Atzacan is a municipality in the Mexican state of Veracruz that forms part of the greater Orizaba metropolitan region.
  • B. Ajusco
    Ajusco is a prominent volcanic mountain and national park in southern Mexico City, known for its high elevation, forests, and popular outdoor recreation areas.
  • C. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • D. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • E. Tajín Chico
    Tajín Chico is an elevated ceremonial and administrative complex within the ancient Mesoamerican city of El Tajín, notable for its palaces, pyramids, and elite architecture.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b33ecf48190a98ccbde9a3700c1 completed March 15, 2026, 8:17 a.m.
NEDg Description generation batch_69b66c061e9881909d9494bf8ec84124 completed March 15, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69b66c6892548190b1d5a8573abb4a69 completed March 15, 2026, 8:23 a.m.
Created at: March 12, 2026, 11:36 p.m.