Triple

T4540065
Position Surface form Disambiguated ID Type / Status
Subject Mazatlán E107504 entity
Predicate hasPart P35 FINISHED
Object Mazatlán Malecón
Mazatlán Malecón is a long, scenic oceanfront promenade in Mazatlán, Mexico, known for its beaches, monuments, and vibrant coastal atmosphere.
E451084 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: Mazatlán Malecón | Statement: [Mazatlán, hasPart, Mazatlán Malecón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazatlán Malecón
Context triple: [Mazatlán, hasPart, Mazatlán Malecón]
  • A. Playa Zicatela
    Playa Zicatela is a famous beach in Puerto Escondido, Mexico, renowned worldwide for its powerful surf breaks and big-wave surfing.
  • B. Playa Manzanillo
    Playa Manzanillo is a small, sheltered beach in Puerto Escondido, Mexico, known for its calm waters, snorkeling, and relaxed atmosphere.
  • C. San Pancho
    San Pancho is a laid-back Pacific coastal village in Mexico known for its beaches, surf culture, and vibrant arts and community scene.
  • D. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • E. Las Alcaravaneras Beach
    Las Alcaravaneras Beach is an urban sandy beach in Las Palmas de Gran Canaria, known for its calm waters, sports facilities, and proximity to the city center and marina.
  • 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: Mazatlán Malecón
Triple: [Mazatlán, hasPart, Mazatlán Malecón]
Generated description
Mazatlán Malecón is a long, scenic oceanfront promenade in Mazatlán, Mexico, known for its beaches, monuments, and vibrant coastal atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mazatlán Malecón
Target entity description: Mazatlán Malecón is a long, scenic oceanfront promenade in Mazatlán, Mexico, known for its beaches, monuments, and vibrant coastal atmosphere.
  • A. Playa Zicatela
    Playa Zicatela is a famous beach in Puerto Escondido, Mexico, renowned worldwide for its powerful surf breaks and big-wave surfing.
  • B. Playa Manzanillo
    Playa Manzanillo is a small, sheltered beach in Puerto Escondido, Mexico, known for its calm waters, snorkeling, and relaxed atmosphere.
  • C. San Pancho
    San Pancho is a laid-back Pacific coastal village in Mexico known for its beaches, surf culture, and vibrant arts and community scene.
  • D. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • E. Las Alcaravaneras Beach
    Las Alcaravaneras Beach is an urban sandy beach in Las Palmas de Gran Canaria, known for its calm waters, sports facilities, and proximity to the city center and marina.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57bb5c0c819092ebb2dd3310f5f8 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacfff41481908a5c97ab4fcb9259 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdb32911cc8190a8624d54dad6355e completed March 20, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_69bdb3a0bf908190b9a029f47e6be941 completed March 20, 2026, 8:52 p.m.
Created at: March 20, 2026, 1:04 p.m.