Triple

T14450251
Position Surface form Disambiguated ID Type / Status
Subject Gitarja E358311 entity
Predicate spouse P13 FINISHED
Object Kertawardhana E358312 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: Kertawardhana | Statement: [Gitarja, spouse, Kertawardhana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kertawardhana
Context triple: [Gitarja, spouse, Kertawardhana]
  • A. Kertawardhana chosen
    Kertawardhana was a Javanese royal figure known primarily as the consort of Majapahit ruler Tribhuwana Wijayatunggadewi and a member of the Majapahit dynasty.
  • B. Kota Gede
    Kota Gede is a historic district in Yogyakarta, Indonesia, renowned as the former royal center of the Mataram Sultanate and for its traditional Javanese architecture and silver craftsmanship.
  • C. Sukaraja
    Sukaraja is a district in Bogor Regency, West Java, Indonesia, known as a suburban area supporting the greater Bogor and Jakarta regions.
  • D. Kandangan
    Kandangan is a notable town and administrative center in South Kalimantan, Indonesia, known for its traditional Banjar culture and regional trade.
  • E. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa904c08190b33796b832aa100f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:19 a.m.