Triple

T8358518
Position Surface form Disambiguated ID Type / Status
Subject Labrador Sea Water E196739 entity
Predicate monitoredBy P752 FINISHED
Object Argo profiling floats E50867 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: Argo profiling floats | Statement: [Labrador Sea Water, monitoredBy, Argo profiling floats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argo profiling floats
Context triple: [Labrador Sea Water, monitoredBy, Argo profiling floats]
  • A. Argo floats chosen
    Argo floats are autonomous, drifting oceanographic instruments that profile temperature, salinity, and currents throughout the global oceans to support climate and circulation research.
  • B. CTD rosette system
    The CTD rosette system is an oceanographic instrument array that collects water samples at various depths while simultaneously measuring conductivity, temperature, and depth to profile the water column.
  • C. Klibi
    Klibi is a Tunisian surname most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
  • D. Argo Project
    Argo Project is an open-source suite of Kubernetes-native tools for running and managing container-native workflows, applications, and continuous delivery.
  • E. Aristo project
    The Aristo project is an AI research initiative by the Allen Institute for Artificial Intelligence focused on building systems that can answer and reason about standardized science exam questions.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb806fa5c88190b23b6b3ee9d6ec6d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc76d49c881909e8e93b8f7d940df completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.