Triple

T5281448
Position Surface form Disambiguated ID Type / Status
Subject Rodrigo Ibata E119506 entity
Predicate workLocation P7 FINISHED
Object Strasbourg E12607 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: Strasbourg | Statement: [Rodrigo Ibata, workLocation, Strasbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg
Context triple: [Rodrigo Ibata, workLocation, Strasbourg]
  • A. Strasbourg chosen
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • B. Mulhouse
    Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
  • C. Besançon
    Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
  • D. Eurométropole de Strasbourg
    Eurométropole de Strasbourg is the intercommunal metropolitan authority centered on the city of Strasbourg in northeastern France, coordinating urban planning, transport, and public services across the surrounding municipalities.
  • E. Metz
    Metz is a historic city in northeastern France known for its Gothic Saint-Stephen Cathedral, Roman and medieval heritage, and role as the capital of the Moselle department in the Grand Est 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf410eb03c81909aca9aca27cc82c1 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 1:52 p.m.