Triple

T22477219
Position Surface form Disambiguated ID Type / Status
Subject Sekumpul Waterfall E555663 entity
Predicate near P350 FINISHED
Object Singaraja 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: Singaraja | Statement: [Sekumpul Waterfall, near, Singaraja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singaraja
Context triple: [Sekumpul Waterfall, near, Singaraja]
  • A. Singaraja chosen
    Singaraja is a historic coastal city in northern Bali, Indonesia, known for its colonial-era architecture and role as a former administrative center of the island.
  • B. Singaradja
    Singaradja is an alternative spelling of Singaraja, a coastal city in northern Bali, Indonesia, known historically as a major port and former colonial administrative center.
  • C. Kertawardhana
    Kertawardhana was a Javanese royal figure known primarily as the consort of Majapahit ruler Tribhuwana Wijayatunggadewi and a member of the Majapahit dynasty.
  • D. Krishnarajapuram
    Krishnarajapuram is a major railway hub and suburban area in Bengaluru, India, serving as an important junction for regional and long-distance train services.
  • E. Uppala
    Uppala is a prominent coastal town in Kerala’s Kasaragod district, known for its commercial activity and proximity to the Kerala–Karnataka border.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be48cec8190baff90f8566a85d0 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.