Triple

T15157643
Position Surface form Disambiguated ID Type / Status
Subject Mahapatih of Majapahit E362118 entity
Predicate notableOfficeHolder P5750 FINISHED
Object Mpu Nala E1087865 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: Mpu Nala | Statement: [Mahapatih of Majapahit, notableOfficeHolder, Mpu Nala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mpu Nala
Context triple: [Mahapatih of Majapahit, notableOfficeHolder, Mpu Nala]
  • A. Mpu Nala chosen
    Mpu Nala was a prominent high-ranking official and statesman in the Majapahit Empire, serving as one of its key political leaders during its height in medieval Java.
  • B. Ranu Kumbolo
    Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
  • C. Kingunda
    Kingunda is a variant form of the female given name Kunegunda, used in certain linguistic or regional contexts.
  • D. Suru Mwerani
    Suru Mwerani is an indigenous language spoken by a community on Pentecost Island in Vanuatu.
  • E. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060c62b08190bcdbd912d011d1ba completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88419108190860319a9bcab1eef completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.