Triple

T18883544
Position Surface form Disambiguated ID Type / Status
Subject Langenfeld (Rheinland) E461893 entity
Predicate hasTwinTown P919 FINISHED
Object Senlis 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: Senlis | Statement: [Langenfeld (Rheinland), hasTwinTown, Senlis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senlis
Context triple: [Langenfeld (Rheinland), hasTwinTown, Senlis]
  • A. Senlis chosen
    Senlis is a historic town in northern France known for its medieval architecture and its role in events such as the 14th-century Jacquerie peasant revolt.
  • B. Montrichard
    Montrichard is a historic town in central France’s Loire Valley, known for its medieval castle, picturesque setting on the Cher River, and traditional regional architecture.
  • C. Beaugency
    Beaugency is a historic town in north-central France on the Loire River, known for its medieval architecture and strategic role in the Hundred Years' War.
  • D. Nancoury
    Nancoury is an alternative name for the Nancowry language, an Austroasiatic language spoken in India’s Nicobar Islands.
  • E. Saint-Gildas-des-Bois
    Saint-Gildas-des-Bois is a commune in western France known for its historic abbey and rural setting in the Loire-Atlantique department.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d3dcec8190a468162c6a4482f6 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.