Triple

T7314268
Position Surface form Disambiguated ID Type / Status
Subject Mount Welirang E168169 entity
Predicate accessibleFrom P1985 FINISHED
Object Cangar
Cangar is a highland area in East Java, Indonesia, known for its hot springs and as a gateway for hikers heading toward Mount Welirang.
 E656332 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: Cangar | Statement: [Mount Welirang, accessibleFrom, Cangar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cangar
Context triple: [Mount Welirang, accessibleFrom, Cangar]
  • A. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • B. Corberó
    Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
  • C. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • 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: Cangar
Triple: [Mount Welirang, accessibleFrom, Cangar]
Generated description
Cangar is a highland area in East Java, Indonesia, known for its hot springs and as a gateway for hikers heading toward Mount Welirang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cangar
Target entity description: Cangar is a highland area in East Java, Indonesia, known for its hot springs and as a gateway for hikers heading toward Mount Welirang.
  • A. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • B. Corberó
    Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
  • C. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeedea88190a17cf6b83abc10d8 completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7efd351e88190ab5da8977e80c339 completed March 28, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69c7f02f95508190a7b323f3f94e4a0f completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:02 p.m.