Triple

T10375938
Position Surface form Disambiguated ID Type / Status
Subject Giez E244506 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Fiez E244505 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: Fiez | Statement: [Giez, hasNeighbouringMunicipality, Fiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiez
Context triple: [Giez, hasNeighbouringMunicipality, Fiez]
  • A. Fiez chosen
    Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
  • B. Šahy
    Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
  • C. Rook
    Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
  • D. Tromp
    Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
  • E. Dukawa
    Dukawa are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi and Niger States and known for their distinct language and traditional agrarian lifestyle.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98278e08190a4d3ff88b4039e49 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795754570819093747f80e32fffce completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:02 p.m.