Triple

T19166835
Position Surface form Disambiguated ID Type / Status
Subject Three Kings volcano E469206 entity
Predicate hasPart P35 FINISHED
Object Big King cone
Big King cone is a prominent volcanic cone that forms part of the Three Kings volcano complex.
E1361483 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: Big King cone | Statement: [Three Kings volcano, hasPart, Big King cone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big King cone
Context triple: [Three Kings volcano, hasPart, Big King cone]
  • A. Giant Cone
    Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
  • B. Passu Cones
    Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
  • C. Mocho cone
    Mocho cone is the main volcanic cone of the Mocho-Choshuenco stratovolcano complex in southern Chile.
  • D. Five Cones
    Five Cones is a large-scale sculptural artwork by Ursula von Rydingsvard, exemplifying her signature use of monumental, textured forms.
  • E. Four-in-One Cone
    Four-in-One Cone is a clustered volcanic cinder cone feature within Oregon’s Three Sisters volcanic complex, formed by closely spaced vents that produced overlapping cones.
  • 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: Big King cone
Triple: [Three Kings volcano, hasPart, Big King cone]
Generated description
Big King cone is a prominent volcanic cone that forms part of the Three Kings volcano complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Big King cone
Target entity description: Big King cone is a prominent volcanic cone that forms part of the Three Kings volcano complex.
  • A. Giant Cone
    Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
  • B. Passu Cones
    Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
  • C. Mocho cone
    Mocho cone is the main volcanic cone of the Mocho-Choshuenco stratovolcano complex in southern Chile.
  • D. Five Cones
    Five Cones is a large-scale sculptural artwork by Ursula von Rydingsvard, exemplifying her signature use of monumental, textured forms.
  • E. Four-in-One Cone
    Four-in-One Cone is a clustered volcanic cinder cone feature within Oregon’s Three Sisters volcanic complex, formed by closely spaced vents that produced overlapping cones.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16035b481908667a4415a1a63c9 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f261bed48190838b5cb99a01b4f2 completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f338f504819081daeef10e629afd completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.