Triple

T7376639
Position Surface form Disambiguated ID Type / Status
Subject Pine Island Glacier E170140 entity
Predicate massBalance P76652 FINISHED
Object strongly negative 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: strongly negative | Statement: [Pine Island Glacier, massBalance, strongly negative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: massBalance
Context triple: [Pine Island Glacier, massBalance, strongly negative]
  • A. massParameter
    Indicates a relationship where a specific mass value is assigned to or characterizes an entity as a parameter in a model or system.
  • B. massProperty
    Indicates that one entity has a mass-related physical property or characteristic associated with it.
  • C. 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.
  • D. dryMass
    Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
  • E. hasMassFraction
    Indicates that a specified portion of a substance’s total mass is attributable to a particular component or constituent.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a8b18c8190ad1a19521eda2319 completed March 27, 2026, 9:07 p.m.
PD Predicate disambiguation batch_69c6f02ee3e08190a7a00c981129b22c completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f0ebf9c88190af5a4d87d3fd338a completed March 27, 2026, 9:04 p.m.
Created at: March 27, 2026, 3:07 p.m.