Triple

T20560960
Position Surface form Disambiguated ID Type / Status
Subject Niño 3.4 region E504840 entity
Predicate dataProduct P3585 FINISHED
Object OISST NE NERFINISHED

How this triple was built (3 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: OISST | Statement: [Niño 3.4 region, dataProduct, OISST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OISST
Context triple: [Niño 3.4 region, dataProduct, OISST]
  • A. Oceanic Niño Index
    The Oceanic Niño Index is a standardized measure of sea surface temperature anomalies in the central equatorial Pacific used to monitor and classify El Niño and La Niña events.
  • B. Southern Oscillation Index
    The Southern Oscillation Index is a standardized atmospheric pressure-based metric used to monitor and quantify the strength and phase of the El Niño–Southern Oscillation climate pattern.
  • C. National Satellite Ocean Application Service
    The National Satellite Ocean Application Service is a Chinese governmental agency responsible for processing, managing, and applying marine satellite remote sensing data to support ocean monitoring, research, and policy-making.
  • D. Copernicus Marine Environment Monitoring Service
    The Copernicus Marine Environment Monitoring Service is a European Union operational service that provides free, authoritative information on the state, variability, and dynamics of the global ocean and European regional seas.
  • E. Indian Ocean Dipole
    The Indian Ocean Dipole is a climate phenomenon characterized by irregular sea surface temperature differences between the western and eastern Indian Ocean, which strongly affects regional weather patterns such as rainfall and monsoon behavior.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OISST
Target entity description: OISST (Optimum Interpolation Sea Surface Temperature) is a widely used, high-resolution global sea surface temperature analysis product that combines satellite and in situ observations for climate and ocean monitoring.
  • A. Oceanic Niño Index
    The Oceanic Niño Index is a standardized measure of sea surface temperature anomalies in the central equatorial Pacific used to monitor and classify El Niño and La Niña events.
  • B. Southern Oscillation Index
    The Southern Oscillation Index is a standardized atmospheric pressure-based metric used to monitor and quantify the strength and phase of the El Niño–Southern Oscillation climate pattern.
  • C. National Satellite Ocean Application Service
    The National Satellite Ocean Application Service is a Chinese governmental agency responsible for processing, managing, and applying marine satellite remote sensing data to support ocean monitoring, research, and policy-making.
  • D. Copernicus Marine Environment Monitoring Service
    The Copernicus Marine Environment Monitoring Service is a European Union operational service that provides free, authoritative information on the state, variability, and dynamics of the global ocean and European regional seas.
  • E. Indian Ocean Dipole
    The Indian Ocean Dipole is a climate phenomenon characterized by irregular sea surface temperature differences between the western and eastern Indian Ocean, which strongly affects regional weather patterns such as rainfall and monsoon behavior.
  • F. None of above. chosen

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79ec10481909740eb6a08ae2658 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:38 a.m.