Triple

T11068773
Position Surface form Disambiguated ID Type / Status
Subject Kempen E261690 entity
Predicate historicalName P65 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: [Kempen, historicalName, Campine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campine
Context triple: [Kempen, historicalName, 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. Plaine Vallée
    Plaine Vallée is an intercommunal structure in the northern suburbs of Paris, France, grouping several communes for cooperative local administration and services.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8b2d6e881909eeddf1e6427ad5c completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.