Triple

T22748730
Position Surface form Disambiguated ID Type / Status
Subject Hamme E562631 entity
Predicate locatedOnRiver P165 FINISHED
Object Durme 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: Durme | Statement: [Hamme, locatedOnRiver, Durme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durme
Context triple: [Hamme, locatedOnRiver, Durme]
  • A. Durme chosen
    The Durme is a small river in Belgium that flows through East Flanders before joining the Scheldt.
  • B. Ifremer
    Ifremer is the French national institute for ocean science, conducting marine research and operating major oceanographic infrastructures and data centers.
  • C. Dumbrille
    Dumbrille is a surname most notably associated with Canadian character actor Douglass Dumbrille, known for his prolific work in early Hollywood films.
  • D. Ranquitte
    Ranquitte is a small rural commune in northern Haiti known for its mountainous terrain and agricultural economy.
  • E. Drmoul
    Drmoul is a small municipality and village located in the Cheb District of the Karlovy Vary Region in the western Czech Republic.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b822988190b5368ac1f4e1d70a completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.