Triple

T9935368
Position Surface form Disambiguated ID Type / Status
Subject Lontzen E192745 entity
Predicate hasPart P35 FINISHED
Object Lontzen (village) E192745 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: Lontzen (village) | Statement: [Lontzen, hasPart, Lontzen (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lontzen (village)
Context triple: [Lontzen, hasPart, Lontzen (village)]
  • A. Lontzen chosen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • B. Lunteren
    Lunteren is a village in the Dutch province of Gelderland, known for its rural character and central location in the municipality of Ede.
  • C. Village of Laingsburg
    The Village of Laingsburg is a small incorporated community in Michigan known for its rural character and proximity to the Lansing metropolitan area.
  • D. Oldenzaal
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • E. Bunschoten
    Bunschoten is a Dutch town and municipality known for its traditional fishing heritage and historic village character in the central Netherlands.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ddecfc8190850a098bf4074cc3 completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.