Triple

T5073143
Position Surface form Disambiguated ID Type / Status
Subject Intamin E114327 entity
Predicate notableWork P4 FINISHED
Object Taron
Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
 E492912 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: Taron | Statement: [Intamin, notableWork, Taron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taron
Context triple: [Intamin, notableWork, Taron]
  • A. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • B. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • C. Tayk
    Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
  • D. Tavros
    Tavros is a suburban municipality in the Athens urban area of Greece, known for its mixed residential and industrial character.
  • E. Trostan
    Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
  • 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: Taron
Triple: [Intamin, notableWork, Taron]
Generated description
Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taron
Target entity description: Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • A. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • B. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • C. Tayk
    Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
  • D. Tavros
    Tavros is a suburban municipality in the Athens urban area of Greece, known for its mixed residential and industrial character.
  • E. Trostan
    Trostan is a mountain in Northern Ireland and the highest peak in County Antrim.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74cfa4348190bc50590117a6bcf9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11600ac81908661759839ebfc98 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb36d1f50819083b7789a3654c51a completed March 21, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69beb48d2a8881909aab831f657d9f13 completed March 21, 2026, 3:09 p.m.
Created at: March 20, 2026, 1:39 p.m.