Triple

T20776261
Position Surface form Disambiguated ID Type / Status
Subject Group on Services E511361 entity
Predicate acronym P43 FINISHED
Object GOS NE NERFINISHED

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: GOS | Statement: [Group on Services, acronym, GOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOS
Context triple: [Group on Services, acronym, GOS]
  • A. GOS
    GOS is the abbreviation for the Grand Orient of Spain, a major Masonic obedience historically active in Spanish Freemasonry.
  • B. GOS chosen
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GOSS
    GOSS is the ICAO airport code for Saint-Louis Airport in Senegal, used in international aviation for flight planning and air traffic control.
  • D. Goc
    Goc is a German surname most notably associated with professional ice hockey players such as Marcel Goc.
  • E. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26b06ac81909aef3b0a0ad79a33 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.