Triple

T21351524
Position Surface form Disambiguated ID Type / Status
Subject Theodul Glacier E526492 entity
Predicate accessPoint P1985 FINISHED
Object Trockener Steg E1171064 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: Trockener Steg | Statement: [Theodul Glacier, accessPoint, Trockener Steg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trockener Steg
Context triple: [Theodul Glacier, accessPoint, Trockener Steg]
  • A. Trockener Steg chosen
    Trockener Steg is a high-altitude mountain station and ski area hub above Zermatt, Switzerland, serving as a key junction for cable cars and access to the surrounding glaciers and peaks.
  • B. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • C. Stößen
    Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
  • D. Trockel
    Trockel is the surname of Rosemarie Trockel, a prominent German conceptual artist known for her innovative textile and multimedia works.
  • E. Stetinden
    Stetinden is a distinctive, obelisk-shaped mountain in Nordland, Norway, renowned among climbers and often called Norway’s national mountain.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bab98148190aa14d52fd37bc894 completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad5e14188190a55aed4c72b72162 completed May 17, 2026, 11:58 a.m.
Created at: April 16, 2026, 5:04 p.m.