Triple

T1117627
Position Surface form Disambiguated ID Type / Status
Subject Rhône Glacier E11136 entity
Predicate glaciologicalMonitoring P25141 FINISHED
Object monitored by Swiss glaciological networks LITERAL 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: monitored by Swiss glaciological networks | Statement: [Rhône Glacier, glaciologicalMonitoring, monitored by Swiss glaciological networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: glaciologicalMonitoring
Context triple: [Rhône Glacier, glaciologicalMonitoring, monitored by Swiss glaciological networks]
  • A. notableGlacier
    Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
  • B. hasGlacier
    Indicates that one entity possesses, contains, or is characterized by the presence of a glacier.
  • C. glacierType
    Indicates the specific classification or category of a glacier based on its form, dynamics, or setting.
  • D. glaciationCharacteristic
    Indicates that one entity is a characteristic, feature, or property associated with the process or effects of glaciation of another entity.
  • E. isLargestGlacierOn
    Indicates that one glacier is the largest glacier located on a specified geographic entity (such as an island, continent, or region).
  • F. None of above. chosen

Provenance (4 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:43 p.m.