Triple

T5562934
Position Surface form Disambiguated ID Type / Status
Subject Allalinhorn E145807 entity
Predicate near P350 FINISHED
Object Rimpfischhorn E162481 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: Rimpfischhorn | Statement: [Allalinhorn, near, Rimpfischhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rimpfischhorn
Context triple: [Allalinhorn, near, Rimpfischhorn]
  • A. Rimpfischhorn chosen
    Rimpfischhorn is a prominent high-altitude mountain in the Swiss Pennine Alps, known for its glaciated slopes and challenging climbing routes.
  • B. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • C. Fletschhorn
    Fletschhorn is a prominent mountain peak in the Swiss Pennine Alps, known for its glaciated slopes and popularity among alpine climbers.
  • D. Wiesbachhorn
    Wiesbachhorn is a prominent alpine peak in the Austrian Alps, known for its impressive height and glaciated slopes within the Hohe Tauern range.
  • E. Hösthorn
    Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d0ca0088190a5d63139ba194e8e completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.