Triple

T3897160
Position Surface form Disambiguated ID Type / Status
Subject Getlink E90397 entity
Predicate hasBrand P1500 FINISHED
Object Europorte E397095 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: Europorte | Statement: [Getlink, hasBrand, Europorte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europorte
Context triple: [Getlink, hasBrand, Europorte]
  • A. Europorte chosen
    Europorte is a European rail freight operator providing cargo transport and logistics services, particularly through the Channel Tunnel and across France and neighboring countries.
  • B. Porte Dorée
    Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
  • C. Porte Dauphine
    Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
  • D. Europoort
    Europoort is a major port and industrial area forming part of the Port of Rotterdam in the Netherlands, known as a key hub for maritime trade and petrochemical industries.
  • E. Pont des Barris
    Pont des Barris is a historic bridge in the town of Tulle in central France, known for its traditional architecture and role in connecting parts of the town across the Corrèze River.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd34e608190bf1ca1d0c04562b2 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285093208190a2ba00afcbd8a261 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:21 p.m.