Triple

T851885
Position Surface form Disambiguated ID Type / Status
Subject Monaco E18404 entity
Predicate memberOf P10 FINISHED
Object Interpol E41769 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: Interpol | Statement: [Monaco, memberOf, Interpol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interpol
Context triple: [Monaco, memberOf, Interpol]
  • A. Interpol chosen
    Interpol is an international police organization that facilitates cross-border cooperation and information sharing among law enforcement agencies worldwide to combat transnational crime.
  • B. Arcade Fire
    Arcade Fire is a Canadian indie rock band known for its grand, orchestral sound, emotionally charged lyrics, and critically acclaimed albums like "Funeral" and "The Suburbs."
  • C. Snow Patrol
    Snow Patrol is a Northern Irish-Scottish rock band best known for their melodic, emotionally charged songs such as "Chasing Cars" and "Run."
  • D. M.I.A.
    M.I.A. is a British-Sri Lankan rapper, singer, and visual artist known for her politically charged lyrics and genre-blending hits like "Paper Planes."
  • E. Anberlin
    Anberlin is an American alternative rock band known for its melodic sound, emotionally charged lyrics, and success in the 2000s Christian and mainstream rock scenes.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:39 p.m.