Triple

T9732251
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 3 E235772 entity
Predicate hasStation P35 FINISHED
Object République E214676 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: République | Statement: [Paris Métro Line 3, hasStation, République]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: République
Context triple: [Paris Métro Line 3, hasStation, République]
  • A. République chosen
    République is a major public square and busy transport hub in central Paris, known for its large statue of Marianne and frequent political gatherings.
  • B. República
    República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
  • C. French Republic
    The French Republic is the modern democratic nation-state of France, founded on principles of liberty, equality, and fraternity and governed by republican institutions.
  • D. Republic
    Republic is Plato's foundational philosophical dialogue that explores justice, the ideal state, and the nature of reality and knowledge.
  • E. Republic
    Republic is a major American record label known for signing and promoting many high-profile pop, hip-hop, and alternative artists.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afba5ec081908044a4aefdc6f9ee completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.