Triple

T21044623
Position Surface form Disambiguated ID Type / Status
Subject Magelang Regency E518416 entity
Predicate partOf P40 FINISHED
Object Central Java Province NE NERFINISHED

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: Central Java Province | Statement: [Magelang Regency, partOf, Central Java Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Java Province
Context triple: [Magelang Regency, partOf, Central Java Province]
  • A. Central Java Province chosen
    Central Java Province is an administrative region on the island of Java in Indonesia, known for its rich Javanese culture, historic cities, and significant agricultural and industrial centers.
  • B. South Province
    South Province is the southern administrative region of New Caledonia, encompassing the capital Nouméa and serving as the territory’s main political and economic center.
  • C. Hither Province
    Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
  • D. Aurora Province
    Aurora Province is a coastal province in Central Luzon, Philippines, known for its Pacific shoreline, surfing spots, and mountainous rainforest landscapes.
  • E. Sind Province
    Sind Province is a historical administrative region in present-day Pakistan, encompassing areas such as the Thar and Parkar District and known for its rich cultural and economic significance along the lower Indus River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:24 p.m.