Triple

T20844756
Position Surface form Disambiguated ID Type / Status
Subject Karanganyar Regency E513191 entity
Predicate hasPart P35 FINISHED
Object Gondangrejo District
Gondangrejo District is an administrative district located within Karanganyar Regency in Central Java, Indonesia.
E1461946 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: Gondangrejo District | Statement: [Karanganyar Regency, hasPart, Gondangrejo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gondangrejo District
Context triple: [Karanganyar Regency, hasPart, Gondangrejo District]
  • A. Sukorejo District
    Sukorejo District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
  • B. Jumantono District
    Jumantono District is an administrative district within Karanganyar Regency in Central Java, Indonesia, known for its rural communities and agricultural landscape.
  • C. Purwosari District
    Purwosari District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
  • D. Purwodadi District
    Purwodadi District is an administrative district in East Java, Indonesia, located within Pasuruan Regency.
  • E. Tawangmangu District
    Tawangmangu District is a mountainous tourist area in Central Java, Indonesia, known for its cool climate, waterfalls, and scenic landscapes on the slopes of Mount Lawu.
  • 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: Gondangrejo District
Triple: [Karanganyar Regency, hasPart, Gondangrejo District]
Generated description
Gondangrejo District is an administrative district located within Karanganyar Regency in Central Java, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gondangrejo District
Target entity description: Gondangrejo District is an administrative district located within Karanganyar Regency in Central Java, Indonesia.
  • A. Sukorejo District
    Sukorejo District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
  • B. Jumantono District
    Jumantono District is an administrative district within Karanganyar Regency in Central Java, Indonesia, known for its rural communities and agricultural landscape.
  • C. Purwosari District
    Purwosari District is an administrative district located within Pasuruan Regency in East Java, Indonesia.
  • D. Purwodadi District
    Purwodadi District is an administrative district in East Java, Indonesia, located within Pasuruan Regency.
  • E. Tawangmangu District
    Tawangmangu District is a mountainous tourist area in Central Java, Indonesia, known for its cool climate, waterfalls, and scenic landscapes on the slopes of Mount Lawu.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34deef88190992b959b83bc59b1 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b40b32c819093685be0ca2ea84a completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093e2d718c81908cf1b9dc5f2a34d3 completed May 17, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_6a093eccb0b08190a6c8383c607a49d4 completed May 17, 2026, 4:06 a.m.
Created at: April 16, 2026, 12:43 p.m.