Triple

T33747171
Position Surface form Disambiguated ID Type / Status
Subject Stratosphere Tower E864729 entity
Predicate hasThrillRide P23948 FINISHED
Object Big Shot
Big Shot is a high-altitude thrill ride that launches riders vertically from near the top of the Stratosphere Tower in Las Vegas, offering intense acceleration and panoramic city views.
 E2066330 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: Big Shot | Statement: [Stratosphere Tower, hasThrillRide, Big Shot]
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: Big Shot
Triple: [Stratosphere Tower, hasThrillRide, Big Shot]
Generated description
Big Shot is a high-altitude thrill ride that launches riders vertically from near the top of the Stratosphere Tower in Las Vegas, offering intense acceleration and panoramic city views.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasThrillRide
Context triple: [Stratosphere Tower, hasThrillRide, Big Shot]
  • A. hasThrillRides chosen
    Indicates that an entity offers or includes thrill rides as part of its features or attractions.
  • B. isThrillRide
    Indicates that an attraction or ride is characterized by high excitement, intensity, or adrenaline-inducing features.
  • C. hasRollerCoaster
    Indicates that one entity possesses, contains, or features a roller coaster as part of it.
  • D. hasWaterRide
    Indicates that an entity features or includes at least one water-based ride or attraction.
  • E. hasSpinnerRide
    Indicates that an entity offers, includes, or is associated with a spinner-style ride attraction.
  • F. None of above.

Provenance (6 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_69f3498c35f881909df279ae4270f831 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c8c5ac08190bc976d845358ca09 completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365d2c51808190aa3437c2aa4af4d0 completed June 20, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a365de322208190b3fc9539d7a2b18b completed June 20, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: May 1, 2026, 1:45 a.m.