Triple

T2160005
Position Surface form Disambiguated ID Type / Status
Subject Metro Line 3 E47977 entity
Predicate notableStation P3858 FINISHED
Object Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
 E251432 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: Balderas | Statement: [Metro Line 3, notableStation, Balderas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balderas
Context triple: [Metro Line 3, notableStation, Balderas]
  • A. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • B. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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: Balderas
Triple: [Metro Line 3, notableStation, Balderas]
Generated description
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balderas
Target entity description: Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • A. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • B. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71af0fa081909dd4b2a7452623da completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae728e46608190b4192519c705bc32 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae72ff572081909b7c4aebb9e26180 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:45 p.m.