Triple

T22909298
Position Surface form Disambiguated ID Type / Status
Subject Océan E568544 entity
Predicate contains P35 FINISHED
Object Lolodorf 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: Lolodorf | Statement: [Océan, contains, Lolodorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolodorf
Context triple: [Océan, contains, Lolodorf]
  • A. Lolodorf chosen
    Lolodorf is a small town located in the South Region of Cameroon, known for its surrounding rainforest and rural character.
  • B. Ruckelshaus
    Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
  • C. Pfastatt
    Pfastatt is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
  • D. Poppendick
    Poppendick is a German surname most notably associated with Helmut Poppendick, a physician involved in Nazi-era medical activities.
  • E. Gutenborn
    Gutenborn is a small municipality in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan region.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.