Triple

T8883710
Position Surface form Disambiguated ID Type / Status
Subject Line 4 (Paris Métro) E211472 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: [Line 4 (Paris Métro), hasStation, Strasbourg–Saint-Denis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg–Saint-Denis
Context triple: [Line 4 (Paris Métro), 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c641048190aabbc10f461099f4 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:53 p.m.