Triple

T15755961
Position Surface form Disambiguated ID Type / Status
Subject Parque de Atracciones de Madrid E381967 entity
Predicate hasRollerCoaster P23566 FINISHED
Object Tarántula
Tarántula is a spinning roller coaster at Madrid’s Parque de Atracciones known for its tight turns and disorienting, free-rotating cars.
 E1175447 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: Tarántula | Statement: [Parque de Atracciones de Madrid, hasRollerCoaster, Tarántula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarántula
Context triple: [Parque de Atracciones de Madrid, hasRollerCoaster, Tarántula]
  • A. Tarantula
    Tarantula is an experimental, stream-of-consciousness prose poetry book by Bob Dylan, reflecting his surreal and avant-garde literary style of the 1960s.
  • B. Tarantula
    Tarantula is a 1955 American science-fiction horror film featuring a giant mutant spider terrorizing a desert town.
  • C. Tarantula
    "Tarantula" is the fourth studio album by the American rock band Ride, marking their return with a more guitar-driven, alternative rock sound.
  • D. Lagarteiru
    Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
  • E. Lagarto
    Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
  • 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: Tarántula
Triple: [Parque de Atracciones de Madrid, hasRollerCoaster, Tarántula]
Generated description
Tarántula is a spinning roller coaster at Madrid’s Parque de Atracciones known for its tight turns and disorienting, free-rotating cars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarántula
Target entity description: Tarántula is a spinning roller coaster at Madrid’s Parque de Atracciones known for its tight turns and disorienting, free-rotating cars.
  • A. Tarantula
    Tarantula is an experimental, stream-of-consciousness prose poetry book by Bob Dylan, reflecting his surreal and avant-garde literary style of the 1960s.
  • B. Tarantula
    Tarantula is a 1955 American science-fiction horror film featuring a giant mutant spider terrorizing a desert town.
  • C. Tarantula
    "Tarantula" is the fourth studio album by the American rock band Ride, marking their return with a more guitar-driven, alternative rock sound.
  • D. Lagarteiru
    Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
  • E. Lagarto
    Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87714a8481909f8489c73ac89c11 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff887dc9cc81908833f9881647d82f completed May 9, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69ff8970b85081909c8eb114851841f1 completed May 9, 2026, 7:22 p.m.
Created at: April 10, 2026, 4:47 a.m.