Triple

T11212461
Position Surface form Disambiguated ID Type / Status
Subject Adventure Island E265341 entity
Predicate hasRollerCoaster P23566 FINISHED
Object Rage
Rage is a steel roller coaster at Adventure Island known for its steep drops and intense inversions.
 E912049 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: Rage | Statement: [Adventure Island, hasRollerCoaster, Rage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rage
Context triple: [Adventure Island, hasRollerCoaster, Rage]
  • A. Rage
    Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
  • B. Rage
    Rage is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family against the backdrop of apartheid-era South Africa.
  • C. Rage
    Rage is a psychological horror novel by Stephen King, originally published under the pseudonym Richard Bachman, that follows a troubled high school student who takes his class hostage.
  • D. Rage
    Rage is a post-apocalyptic first-person shooter video game developed by id Software, known for its advanced graphics technology and vehicular combat elements.
  • E. Rage
    Rage is a Japanese crime drama film featuring Ken Watanabe in a central role, exploring the aftermath of a brutal murder and the corrosive effects of suspicion on human relationships.
  • 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: Rage
Triple: [Adventure Island, hasRollerCoaster, Rage]
Generated description
Rage is a steel roller coaster at Adventure Island known for its steep drops and intense inversions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rage
Target entity description: Rage is a steel roller coaster at Adventure Island known for its steep drops and intense inversions.
  • A. Rage
    Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
  • B. Rage
    Rage is a post-apocalyptic first-person shooter video game developed by id Software, known for its advanced graphics technology and vehicular combat elements.
  • C. Rage
    Rage is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family against the backdrop of apartheid-era South Africa.
  • D. Rage
    Rage is a psychological horror novel by Stephen King, originally published under the pseudonym Richard Bachman, that follows a troubled high school student who takes his class hostage.
  • E. Rage
    Rage is a Japanese crime drama film featuring Ken Watanabe in a central role, exploring the aftermath of a brutal murder and the corrosive effects of suspicion on human relationships.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e497569efc8190b8e9cb6b1db3f94d completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.