Triple

T6069496
Position Surface form Disambiguated ID Type / Status
Subject President of Indonesia E135242 entity
Predicate currentHolderAsOf2024 P29165 FINISHED
Object Joko Widodo E504771 NE FINISHED

How this triple was built (2 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: Joko Widodo | Statement: [President of Indonesia, currentHolderAsOf2024, Joko Widodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joko Widodo
Context triple: [President of Indonesia, currentHolderAsOf2024, Joko Widodo]
  • A. Joko Widodo chosen
    Joko Widodo is the President of Indonesia, known for his populist leadership style and focus on infrastructure development and bureaucratic reform.
  • B. Erap
    Erap is the popular nickname of Joseph Estrada, a Filipino actor-turned-politician who served as the 13th president of the Philippines.
  • C. Soeharto
    Soeharto was an Indonesian military leader and the second President of Indonesia, who ruled the country for over three decades following the fall of Sukarno.
  • D. Guntur Sukarnoputra
    Guntur Sukarnoputra is an Indonesian public figure best known as one of the sons of Indonesia’s first president, Sukarno.
  • E. Reini Wirahadikusumah
    Reini Wirahadikusumah is an Indonesian academic and engineer who serves as the rector of Institut Teknologi Bandung, one of Indonesia’s leading technological universities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0574157848190bb8e0972eb55a363 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d349f288190833384eb9e6c7f52 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:10 p.m.