Triple

T35208401
Position Surface form Disambiguated ID Type / Status
Subject Arnolds Park Amusement Park E1016603 entity
Predicate rollerCoasterName P182606 FINISHED
Object Legend
Legend is a historic wooden roller coaster located at Arnolds Park Amusement Park in Iowa, known as one of the oldest operating coasters in the United States.
 E2131850 NE FINISHED

How this triple was built (3 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: Legend | Statement: [Arnolds Park Amusement Park, rollerCoasterName, Legend]
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: Legend
Triple: [Arnolds Park Amusement Park, rollerCoasterName, Legend]
Generated description
Legend is a historic wooden roller coaster located at Arnolds Park Amusement Park in Iowa, known as one of the oldest operating coasters in the United States.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: rollerCoasterName
Context triple: [Arnolds Park Amusement Park, rollerCoasterName, Legend]
  • A. rollerCoasterType
    Indicates that one entity is classified as a specific type or category of roller coaster in relation to another entity.
  • B. coasterType
    Indicates the specific category or style of a coaster that characterizes its design or function.
  • C. COASTERIs
    Indicates that one entity is a coaster or functions in the role of a coaster in relation to another entity.
  • D. numberOfRollerCoasters
    Indicates the quantity of roller coasters associated with a given entity.
  • E. themeParkAttraction
    Indicates that something is an attraction or ride located within a theme park.
  • F. None of above. chosen

Provenance (7 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_69f76ddf549c8190869d0af076fd2c28 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7904a770481908ef3f788e51e8dba completed May 3, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380406450481909d89f33c59aa7da1 completed June 21, 2026, 3:32 p.m.
NEDg Description generation batch_6a3804ebed608190995d50cb0cf6243a completed June 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a380598bfd48190a3d7d541ff5d5cde completed June 21, 2026, 3:39 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78f629d508190b755848162c4e101 completed May 3, 2026, 6:09 p.m.
Created at: May 3, 2026, 4:02 p.m.