Triple

T9139811
Position Surface form Disambiguated ID Type / Status
Subject Estación Etiopía E219293 entity
Predicate hasAdjacentStation P231 FINISHED
Object Eugenia
Eugenia is a station on the Mexico City Metro system, located along Line 3 in the Benito Juárez borough.
 E781582 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: Eugenia | Statement: [Estación Etiopía, hasAdjacentStation, Eugenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugenia
Context triple: [Estación Etiopía, hasAdjacentStation, Eugenia]
  • A. Eugenia
    Eugenia is a feminine given name of Greek origin, commonly used in various European and Latin American cultures.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Acacías
    Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • D. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • E. Wenzelia
    Wenzelia is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs or small trees native to parts of Southeast Asia and the Pacific.
  • 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: Eugenia
Triple: [Estación Etiopía, hasAdjacentStation, Eugenia]
Generated description
Eugenia is a station on the Mexico City Metro system, located along Line 3 in the Benito Juárez borough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugenia
Target entity description: Eugenia is a station on the Mexico City Metro system, located along Line 3 in the Benito Juárez borough.
  • A. Eugenia
    Eugenia is a feminine given name of Greek origin, commonly used in various European and Latin American cultures.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Acacías
    Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • D. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • E. Wenzelia
    Wenzelia is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs or small trees native to parts of Southeast Asia and the Pacific.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f2537881908956a9b0516e2d49 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545584e08190bda111f2c6163a4a completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0553c2b58819086a651863f884064 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d0562e41bc8190801c75e962600df2 completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:19 p.m.