Triple

T14382075
Position Surface form Disambiguated ID Type / Status
Subject Jepara E356626 entity
Predicate partOf P40 FINISHED
Object Jepara Regency E356626 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: Jepara Regency | Statement: [Jepara, partOf, Jepara Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jepara Regency
Context triple: [Jepara, partOf, Jepara Regency]
  • A. Jepara chosen
    Jepara is a coastal town in Central Java, Indonesia, historically renowned as a major trading port and shipbuilding center, and today known for its woodcarving and furniture industry.
  • B. 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.
  • C. Pringsewu Regency
    Pringsewu Regency is an administrative region in the Indonesian province of Lampung on the island of Sumatra, known for its agricultural activities and growing urban centers.
  • D. Sukoharjo Regency
    Sukoharjo Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape and proximity to the city of Surakarta (Solo).
  • E. Wonosobo
    Wonosobo is a highland town in Central Java, Indonesia, known as a gateway to the Dieng Plateau and its scenic volcanic landscapes.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900d28c88190a37feee4743563de completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7ed3ec8190b97128733419845b completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:16 a.m.