Triple

T1332934
Position Surface form Disambiguated ID Type / Status
Subject Sukarno E28683 entity
Predicate burialPlace P196 FINISHED
Object Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
 E154482 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: Blitar | Statement: [Sukarno, burialPlace, Blitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blitar
Context triple: [Sukarno, burialPlace, Blitar]
  • A. Sumenep
    Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
  • B. Kuningan
    Kuningan is a Balinese Hindu religious festival that marks the end of the Galungan celebrations, honoring ancestral spirits with offerings, prayers, and traditional rituals.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. Pasuruan
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • E. Tabanan Regency
    Tabanan Regency is an agricultural and coastal region in western Bali, Indonesia, known for its lush rice terraces and the iconic Tanah Lot sea temple.
  • 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: Blitar
Triple: [Sukarno, burialPlace, Blitar]
Generated description
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blitar
Target entity description: Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • A. Sumenep
    Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
  • B. Kuningan
    Kuningan is a Balinese Hindu religious festival that marks the end of the Galungan celebrations, honoring ancestral spirits with offerings, prayers, and traditional rituals.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. Pasuruan
    Pasuruan is a city in East Java, Indonesia, known as a gateway to the popular Mount Bromo volcanic tourism area.
  • E. Tabanan Regency
    Tabanan Regency is an agricultural and coastal region in western Bali, Indonesia, known for its lush rice terraces and the iconic Tanah Lot sea temple.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62978c08190be285167cf579f9f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc8837400819084e2de10b7916a5f completed March 8, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69acc8e54728819081bdbf48df1a3fb6 completed March 8, 2026, 12:55 a.m.
Created at: March 1, 2026, 7:55 p.m.