Triple

T21312469
Position Surface form Disambiguated ID Type / Status
Subject Braine-l'Alleud E525376 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Lasne 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: Lasne | Statement: [Braine-l'Alleud, hasNearbyMunicipality, Lasne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasne
Context triple: [Braine-l'Alleud, hasNearbyMunicipality, Lasne]
  • A. Lasne chosen
    Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
  • B. Olše
    Olše is a river in the eastern Czech Republic that flows through the Moravian-Silesian Region before joining the Oder.
  • C. Litava
    Litava is a river known locally by this name, flowing through parts of Central Europe and contributing to the region’s natural landscape and waterways.
  • D. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • E. Lesja
    Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcb45f08190a9bcaa366964a2cb completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:25 p.m.