Triple

T13870716
Position Surface form Disambiguated ID Type / Status
Subject canton of Yutz E333440 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Cattenom E824991 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: Cattenom | Statement: [canton of Yutz, containsAdministrativeTerritorialEntity, Cattenom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cattenom
Context triple: [canton of Yutz, containsAdministrativeTerritorialEntity, Cattenom]
  • A. Cattenom chosen
    Cattenom is a French commune in northeastern France best known for hosting one of the country's largest nuclear power plants.
  • B. Sarreguemines
    Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
  • C. Pont-à-Mousson
    Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
  • D. Sarrebourg
    Sarrebourg is a small historic town in northeastern France known for its cultural heritage and location in the Moselle department of the Grand Est region.
  • E. Couvin
    Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6df2ac819089024b9ede7b205f completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.