Triple

T7227199
Position Surface form Disambiguated ID Type / Status
Subject Central Java E154809 entity
Predicate hasMajorCity P316 FINISHED
Object Grobogan E520074 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: Grobogan | Statement: [Central Java, hasMajorCity, Grobogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grobogan
Context triple: [Central Java, hasMajorCity, Grobogan]
  • A. Grobogan Regency chosen
    Grobogan Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape, karst hills, and historical sites.
  • B. Jatibarang
    Jatibarang is a town in West Java, Indonesia, situated near the Cimanuk River and known as a local agricultural and trading center.
  • C. Kebumen
    Kebumen is a regency-level town in southern Central Java, Indonesia, known for its agricultural surroundings, coastal areas, and proximity to karst landscapes and caves.
  • D. Cilacap
    Cilacap is a coastal city in southern Central Java, Indonesia, known for its major port, industrial facilities, and proximity to the Indian Ocean.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9df72cc81908d1c04e6e310fbb4 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a63b7e481909198ea21d7ee5159 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:54 p.m.