Triple

T10485789
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 8 E247292 entity
Predicate hasStation P35 FINISHED
Object Strasbourg–Saint-Denis E202050 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–Saint-Denis | Statement: [Paris Métro Line 8, hasStation, Strasbourg–Saint-Denis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg–Saint-Denis
Context triple: [Paris Métro Line 8, hasStation, Strasbourg–Saint-Denis]
  • A. Strasbourg – Saint-Denis chosen
    Strasbourg – Saint-Denis is a major Paris Métro station and busy transport hub in central Paris, serving multiple lines near the historic Porte Saint-Denis.
  • B. Charonne
    Charonne is a Paris Métro station in the 11th arrondissement, known for serving a residential neighborhood and for its proximity to the site of the 1962 Charonne Massacre.
  • C. Châtillon–Montrouge
    Châtillon–Montrouge is a Paris Métro station in the southern suburbs of Paris that serves as a key transport hub and interchange on the network.
  • D. Beaugrenelle
    Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • E. Fleury-Mérogis
    Fleury-Mérogis is a commune in the southern suburbs of Paris, France, best known for housing one of Europe’s largest prisons.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.