Triple

T10705007
Position Surface form Disambiguated ID Type / Status
Subject Costa Alegre E252380 entity
Predicate hasPart P35 FINISHED
Object Tenacatita
Tenacatita is a coastal area in Jalisco, Mexico, known for its beaches, calm bay, and laid-back tourist atmosphere along the Costa Alegre.
 E895856 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: Tenacatita | Statement: [Costa Alegre, hasPart, Tenacatita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenacatita
Context triple: [Costa Alegre, hasPart, Tenacatita]
  • A. Mixiuhca
    Mixiuhca is a Mexico City Metro station on Line 9 serving the eastern part of the city.
  • B. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • C. Catemaco
    Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
  • D. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • E. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • 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: Tenacatita
Triple: [Costa Alegre, hasPart, Tenacatita]
Generated description
Tenacatita is a coastal area in Jalisco, Mexico, known for its beaches, calm bay, and laid-back tourist atmosphere along the Costa Alegre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenacatita
Target entity description: Tenacatita is a coastal area in Jalisco, Mexico, known for its beaches, calm bay, and laid-back tourist atmosphere along the Costa Alegre.
  • A. Mixiuhca
    Mixiuhca is a Mexico City Metro station on Line 9 serving the eastern part of the city.
  • B. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • C. Catemaco
    Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
  • D. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • E. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddeb060819094cd125a68070eb2 completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b436efc819080022105e3f5f2e1 completed April 17, 2026, 1:53 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:12 p.m.