Triple

T4604866
Position Surface form Disambiguated ID Type / Status
Subject Soissons Cathedral E100407 entity
Predicate locatedIn P40 FINISHED
Object Soissons E448252 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: Soissons | Statement: [Soissons Cathedral, locatedIn, Soissons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soissons
Context triple: [Soissons Cathedral, locatedIn, Soissons]
  • A. Soissons chosen
    Soissons is a historic town in northern France known for its strategic military importance and notable battles throughout European history.
  • B. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • C. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • D. Château-Thierry
    Château-Thierry is a historic town in northern France known for its World War I battlefields and its association with the poet Jean de La Fontaine.
  • E. Meaux
    Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20ce295f081909046cbc278ee6183 completed March 24, 2026, 4:02 a.m.
Created at: March 20, 2026, 1:12 p.m.