Triple

T20560959
Position Surface form Disambiguated ID Type / Status
Subject Niño 3.4 region E504840 entity
Predicate dataProduct P3585 FINISHED
Object ERSST 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: ERSST | Statement: [Niño 3.4 region, dataProduct, ERSST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERSST
Context triple: [Niño 3.4 region, dataProduct, ERSST]
  • A. ESRT
    ESRT is the stock ticker symbol for Empire State Realty Trust, a real estate investment trust that owns and manages properties including the Empire State Building.
  • B. EESA
    EESA is a 2008 U.S. federal law that authorized the Treasury to address the financial crisis by purchasing troubled assets and stabilizing the banking system.
  • C. Berkeley Earth Surface Temperature project
    The Berkeley Earth Surface Temperature project is a scientific initiative that independently analyzes and reconstructs global land and ocean temperature records to better understand climate change.
  • D. NSIDC DAAC
    NSIDC DAAC is NASA’s National Snow and Ice Data Center Distributed Active Archive Center, which archives and distributes satellite and field data related to Earth’s cryosphere.
  • E. GISTEMP global surface temperature record
    The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
  • 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: ERSST
Target entity description: ERSST (Extended Reconstructed Sea Surface Temperature) is a long-term global sea surface temperature dataset widely used for climate monitoring and analysis, including the study of ENSO in regions such as Niño 3.4.
  • A. ESRT
    ESRT is the stock ticker symbol for Empire State Realty Trust, a real estate investment trust that owns and manages properties including the Empire State Building.
  • B. EESA
    EESA is a 2008 U.S. federal law that authorized the Treasury to address the financial crisis by purchasing troubled assets and stabilizing the banking system.
  • C. Berkeley Earth Surface Temperature project
    The Berkeley Earth Surface Temperature project is a scientific initiative that independently analyzes and reconstructs global land and ocean temperature records to better understand climate change.
  • D. NSIDC DAAC
    NSIDC DAAC is NASA’s National Snow and Ice Data Center Distributed Active Archive Center, which archives and distributes satellite and field data related to Earth’s cryosphere.
  • E. GISTEMP global surface temperature record
    The GISTEMP global surface temperature record is NASA’s long-running dataset that tracks and analyzes changes in Earth’s average surface temperature over time to monitor global warming and climate trends.
  • 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.