Triple

T7314267
Position Surface form Disambiguated ID Type / Status
Subject Mount Welirang E168169 entity
Predicate accessibleFrom P1985 FINISHED
Object Tretes E643950 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: Tretes | Statement: [Mount Welirang, accessibleFrom, Tretes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tretes
Context triple: [Mount Welirang, accessibleFrom, Tretes]
  • A. Tretes chosen
    Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
  • B. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • C. Tresenta
    Tresenta is a mountain peak in Italy’s Graian Alps, located within the Gran Paradiso massif and popular with alpine climbers.
  • D. Tverya
    Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
  • E. Tretten
    Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56f4aa0819096d955e2ce298299 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:02 p.m.