Triple

T8376750
Position Surface form Disambiguated ID Type / Status
Subject Global Ocean Observing System E197595 entity
Predicate abbreviation P43 FINISHED
Object GOOS E197595 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: GOOS | Statement: [Global Ocean Observing System, abbreviation, GOOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOS
Context triple: [Global Ocean Observing System, abbreviation, GOOS]
  • A. GOOS chosen
    GOOS is an international program that coordinates global ocean observations to support climate research, weather forecasting, marine ecosystem monitoring, and sustainable ocean management.
  • B. GOOS Project Office
    The GOOS Project Office is the coordinating body that supports and manages the implementation and development of the Global Ocean Observing System’s worldwide ocean monitoring activities.
  • C. OS
    OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
  • D. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • E. OS
    OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.