Triple

T13162428
Position Surface form Disambiguated ID Type / Status
Subject Meiringen E312759 entity
Predicate locatedIn P40 FINISHED
Object Haslital E1011654 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: Haslital | Statement: [Meiringen, locatedIn, Haslital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haslital
Context triple: [Meiringen, locatedIn, Haslital]
  • A. Haslital chosen
    Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
  • B. Elbigenalp
    Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
  • C. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • D. Karwendeltal
    Karwendeltal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, hiking trails, and unspoiled natural landscapes.
  • E. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf4cd788190b74cca51b5219bfb completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.