Triple

T20558083
Position Surface form Disambiguated ID Type / Status
Subject Province of Papua E504773 entity
Predicate largestCity P235 FINISHED
Object Jayapura 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: Jayapura | Statement: [Province of Papua, largestCity, Jayapura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayapura
Context triple: [Province of Papua, largestCity, Jayapura]
  • A. Jayapura chosen
    Jayapura is a coastal city in the easternmost part of Indonesia, serving as a major administrative, economic, and transportation hub on the island of New Guinea.
  • B. Ambon
    Ambon is a major city and port in eastern Indonesia, known as an administrative, economic, and cultural hub in the Maluku region.
  • C. Bitung
    Bitung is a port city in North Sulawesi, Indonesia, known as a major gateway for maritime trade and access to the rich marine biodiversity of the Lembeh Strait.
  • D. Meulaboh
    Meulaboh is a coastal town in Aceh, Indonesia, known historically as a center of resistance during the Acehnese struggle against Dutch colonial rule.
  • E. Palu
    Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
  • 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.