Triple

T1026140
Position Surface form Disambiguated ID Type / Status
Subject Arequipa E22142 entity
Predicate hasNearbyVolcano P10443 FINISHED
Object Pichu Pichu
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
 E119910 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: Pichu Pichu | Statement: [Arequipa, hasNearbyVolcano, Pichu Pichu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pichu Pichu
Context triple: [Arequipa, hasNearbyVolcano, Pichu Pichu]
  • A. Pikachu
    Pikachu is an iconic Electric-type Pokémon and the franchise mascot, widely recognized as one of the most famous characters in video game and anime history.
  • B. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • E. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • 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: Pichu Pichu
Triple: [Arequipa, hasNearbyVolcano, Pichu Pichu]
Generated description
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pichu Pichu
Target entity description: Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • A. Pikachu
    Pikachu is an iconic Electric-type Pokémon and the franchise mascot, widely recognized as one of the most famous characters in video game and anime history.
  • B. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • E. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb71e7f88190bf33bbe5ef2c68ff completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bba40f88190b80010a837dfb1cc completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c7d16748190a95aaffd04a867b3 completed March 7, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69ac3ce827b88190a5de06c695ad4ecb completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:41 p.m.