Triple

T9909993
Position Surface form Disambiguated ID Type / Status
Subject Lommel E185115 entity
Predicate hasRegion P285 FINISHED
Object Campine E543567 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: Campine | Statement: [Lommel, hasRegion, Campine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campine
Context triple: [Lommel, hasRegion, Campine]
  • A. Campine region chosen
    The Campine region is a sparsely populated, historically rural area in northeastern Belgium known for its heathlands, forests, and sandy soils.
  • B. Estaing
    Estaing is a historic village in the Aveyron department of southern France, known for its medieval architecture and picturesque setting along the Lot River.
  • C. Talmont
    Talmont is a historic coastal village in southwestern France, known for its medieval architecture and scenic position overlooking the Gironde estuary.
  • D. Santa Rosa Plain
    The Santa Rosa Plain is a broad, low-lying valley region in Sonoma County, California, known for its urban centers, agriculture, and role as part of the North Coast wine country landscape.
  • E. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.