Triple

T4152225
Position Surface form Disambiguated ID Type / Status
Subject Grindelwald E89932 entity
Predicate hasNearbyMountain P651 FINISHED
Object Mönch E92183 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: Mönch | Statement: [Grindelwald, hasNearbyMountain, Mönch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mönch
Context triple: [Grindelwald, hasNearbyMountain, Mönch]
  • A. Mönch chosen
    Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
  • B. The Monastery
    "The Monastery" is a historical novel by Sir Walter Scott set on the turbulent Scottish-English border during the Reformation, blending romance, politics, and the supernatural.
  • C. The Monastery
    The Monastery is a monumental rock-cut façade and temple in the ancient Nabatean city of Petra, Jordan, renowned for its massive scale and striking Hellenistic-influenced architecture.
  • D. Munttoren
    Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
  • E. Mark the Hermit
    Mark the Hermit was a prominent early Christian ascetic and spiritual writer known for his influential teachings on inner prayer, humility, and the struggle against passions.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0276363081908e4d17684291b547 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f3707a8819082bafd0d11b7359f completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.