Triple

T10188495
Position Surface form Disambiguated ID Type / Status
Subject Florennes E236971 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Mettet E715891 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: Mettet | Statement: [Florennes, hasNeighbouringMunicipality, Mettet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mettet
Context triple: [Florennes, hasNeighbouringMunicipality, Mettet]
  • A. Mettet chosen
    Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
  • B. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • C. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • D. Metsakasti
    Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • E. Metsavennad
    Metsavennad were Estonian anti-Soviet partisans who waged guerrilla resistance in the forests of Estonia during and after World War II.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.