Triple

T7102376
Position Surface form Disambiguated ID Type / Status
Subject Bogor Regency E165487 entity
Predicate contains P35 FINISHED
Object Cijeruk
Cijeruk is a district in West Java, Indonesia, known for its hilly landscapes and proximity to the city of Bogor.
 E641670 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: Cijeruk | Statement: [Bogor Regency, contains, Cijeruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cijeruk
Context triple: [Bogor Regency, contains, Cijeruk]
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • C. Jajinci
    Jajinci is a suburban neighborhood and memorial park area in Belgrade, Serbia, known for being the site of mass executions during World War II.
  • D. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • E. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • 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: Cijeruk
Triple: [Bogor Regency, contains, Cijeruk]
Generated description
Cijeruk is a district in West Java, Indonesia, known for its hilly landscapes and proximity to the city of Bogor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cijeruk
Target entity description: Cijeruk is a district in West Java, Indonesia, known for its hilly landscapes and proximity to the city of Bogor.
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • C. Jajinci
    Jajinci is a suburban neighborhood and memorial park area in Belgrade, Serbia, known for being the site of mass executions during World War II.
  • D. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • E. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e588aee08190bfb3d96135c0a322 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca9b58c8190a91023de6811b21a completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:42 p.m.