Triple

T3876249
Position Surface form Disambiguated ID Type / Status
Subject North Sumatra E92507 entity
Predicate hasAttraction P105 FINISHED
Object Lake Toba E94199 NE FINISHED

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: Lake Toba | Statement: [North Sumatra, hasAttraction, Lake Toba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Toba
Context triple: [North Sumatra, hasAttraction, Lake Toba]
  • A. Lake Toba chosen
    Lake Toba is a vast volcanic crater lake in northern Sumatra, Indonesia, renowned as one of the world’s largest and deepest volcanic lakes and a major natural and cultural tourism destination.
  • B. Toba
    Toba is a coastal city in central Japan’s Mie Prefecture, known for its pearl cultivation, scenic bays, and maritime heritage.
  • C. Lagoa Rasa
    Lagoa Rasa is a small volcanic crater lake on Flores Island in Portugal’s Azores archipelago, known for its tranquil setting and lush surrounding landscapes.
  • D. Lake Poso
    Lake Poso is a deep, tectonic lake in Central Sulawesi, Indonesia, known for its clear waters, unique biodiversity, and scenic surrounding highlands.
  • E. Boeri Lake
    Boeri Lake is a high-altitude crater lake in Dominica, known for its cool, misty setting and scenic hiking trail within Morne Trois Pitons National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c87214881908e03f5c770c58713 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.