Triple

T20558122
Position Surface form Disambiguated ID Type / Status
Subject Province of Papua E504773 entity
Predicate majorCity P316 FINISHED
Object Timika 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: Timika | Statement: [Province of Papua, majorCity, Timika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timika
Context triple: [Province of Papua, majorCity, Timika]
  • A. Timika chosen
    Timika is a mining and administrative town in Papua, Indonesia, known primarily as the gateway to the Grasberg mine and the surrounding highland region.
  • B. Warang Citi
    Warang Citi is an alphabetic writing system created in the 20th century for the Ho language spoken by the Ho people of eastern India.
  • C. Kota Ukir
    Kota Ukir is a nickname for Jepara, an Indonesian town renowned for its intricate woodcarving and furniture craftsmanship.
  • D. The Padang
    The Padang is a historic open field in Singapore’s civic district that has long served as a central venue for major national ceremonies, celebrations, and public events.
  • E. Kota
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5df84088190848c7eb35564d8f9 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.