Triple

T6046394
Position Surface form Disambiguated ID Type / Status
Subject Giengen an der Brenz E134675 entity
Predicate hasTwinTown P919 FINISHED
Object Sisteron E156323 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: Sisteron | Statement: [Giengen an der Brenz, hasTwinTown, Sisteron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisteron
Context triple: [Giengen an der Brenz, hasTwinTown, Sisteron]
  • A. Sisteron chosen
    Sisteron is a historic town in southeastern France known for its dramatic cliffside setting, medieval citadel, and strategic position along the Durance River.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Guilherand-Granges
    Guilherand-Granges is a French town located in the Ardèche department in the Auvergne-Rhône-Alpes region, situated on the west bank of the Rhône River opposite the city of Valence.
  • D. Gruissan
    Gruissan is a coastal commune in southern France known for its Mediterranean beaches, salt marshes, and traditional stilted chalets.
  • E. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e53f508190864be04bc016c525 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a2b65c8190a1891e790cb9a5de completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.