Triple

T17581380
Position Surface form Disambiguated ID Type / Status
Subject Rupat Island E428210 entity
Predicate accessibleFrom P1985 FINISHED
Object Dumai 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: Dumai | Statement: [Rupat Island, accessibleFrom, Dumai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumai
Context triple: [Rupat Island, accessibleFrom, Dumai]
  • A. Dumai chosen
    Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
  • B. Didong
    Didong is a traditional Gayo performing art that combines rhythmic chanting, body percussion, and poetic recitation, often presented in communal gatherings in Aceh, Indonesia.
  • C. Dawanglu
    Dawanglu is a major Beijing Subway station and commercial area in Beijing, China.
  • D. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • E. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ce8eb081909257be47d150aa04 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.