Triple

T11097249
Position Surface form Disambiguated ID Type / Status
Subject DG REGIO E262407 entity
Predicate shortName P43 FINISHED
Object DG REGIO E262407 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: DG REGIO | Statement: [DG REGIO, shortName, DG REGIO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG REGIO
Context triple: [DG REGIO, shortName, DG REGIO]
  • A. DG REGIO chosen
    DG REGIO is the European Commission department responsible for EU regional and urban policy, including the management of cohesion funds to reduce regional disparities.
  • B. Navigo Découverte
    Navigo Découverte is an anonymous, reloadable contactless travel card used by residents and visitors to access public transportation across the Île-de-France (Paris) region.
  • C. MV Arlanza
    MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
  • D. Marina Doria
    Marina Doria is a Swiss former water-ski champion best known as the wife of Vittorio Emanuele, Prince of Naples, and for her association with the exiled Italian royal family.
  • E. Renault Super Goélette
    The Renault Super Goélette was a light commercial van and truck produced by the French manufacturer Renault, widely used in the 1960s and 1970s for utility and transport purposes.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.