Triple

T17240223
Position Surface form Disambiguated ID Type / Status
Subject Monte Perdido Glacier E418472 entity
Predicate massBalanceTrend P126513 FINISHED
Object negative mass balance in recent decades 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: negative mass balance in recent decades | Statement: [Monte Perdido Glacier, massBalanceTrend, negative mass balance in recent decades]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: massBalanceTrend
Context triple: [Monte Perdido Glacier, massBalanceTrend, negative mass balance in recent decades]
  • A. massBalance
    Indicates that the total mass entering a system equals the total mass leaving or accumulating within it, reflecting conservation of mass.
  • B. hasMassBalance
    Indicates that one entity maintains or specifies the conservation and accounting of mass flows relative to another entity or system.
  • C. typeOfMassBalance
    Indicates a relationship where one entity specifies the particular kind or category of mass balance associated with another entity.
  • D. hasWaterBalance
    Indicates that an entity maintains or exhibits a particular state or condition of water balance, such as hydration level or equilibrium between water intake and loss.
  • E. aimsToBalance
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
PD Predicate disambiguation batch_69e3832553ac819091aa917c84f755b6 completed April 18, 2026, 1:12 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:39 a.m.