Triple

T17804711
Position Surface form Disambiguated ID Type / Status
Subject Line A (Mexico City Metro) E444525 entity
Predicate terminus P388 FINISHED
Object La Paz
La Paz is a city in the State of Mexico that serves as the eastern terminus of Mexico City Metro’s Line A.
E586075 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: La Paz | Statement: [Line A (Mexico City Metro), terminus, La Paz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Paz
Context triple: [Line A (Mexico City Metro), terminus, La Paz]
  • A. La Paz
    La Paz is a municipality in the province of Tarlac in the Philippines, known for its agricultural economy and role as a local commercial center.
  • B. La Paz
    La Paz is a barangay (village-level administrative division) in the municipality of San Narciso in the province of Zambales, Philippines.
  • C. La Paz
    La Paz is a city in northeastern Argentina known for its location on the Paraná River and its role as a regional center in Entre Ríos Province.
  • D. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • E. La Paz
    La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
  • 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: La Paz
Triple: [Line A (Mexico City Metro), terminus, La Paz]
Generated description
La Paz is a city in the State of Mexico that serves as the eastern terminus of Mexico City Metro’s Line A.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Paz
Target entity description: La Paz is a city in the State of Mexico that serves as the eastern terminus of Mexico City Metro’s Line A.
  • A. La Paz chosen
    La Paz is a municipality in the State of Mexico that forms part of the greater Mexico City metropolitan area.
  • B. La Paz
    La Paz is a city in northeastern Argentina known for its location on the Paraná River and its role as a regional center in Entre Ríos Province.
  • C. La Paz
    La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
  • D. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • E. La Paz
    La Paz is a municipality in the province of Tarlac in the Philippines, known for its agricultural economy and role as a local commercial center.
  • F. None of above.

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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48802bcfc8190a138164d11081ab8 completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83c9c388190ba48c3644114c4bc completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f9bcaf748190872b29f1427db09a completed May 12, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a02fa679d1c8190bd61fc29a95ac565 completed May 12, 2026, 10:01 a.m.
Created at: April 10, 2026, 10:14 a.m.