Triple

T8304019
Position Surface form Disambiguated ID Type / Status
Subject Line K E194415 entity
Predicate serves P98 FINISHED
Object Paris region E76769 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: Paris region | Statement: [Line K, serves, Paris region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris region
Context triple: [Line K, serves, Paris region]
  • A. Paris micropolitan area
    The Paris micropolitan area is a small urban and surrounding rural region in western Tennessee centered on the city of Paris, serving as a local hub for commerce and services.
  • B. Grand Paris urban area chosen
    The Grand Paris urban area is the large metropolitan region centered on Paris that encompasses the city and its surrounding suburbs and commuter towns.
  • C. Rouen metropolitan area
    The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
  • D. Reims metropolitan area
    The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
  • E. Lyon metropolitan area
    The Lyon metropolitan area is a major urban and economic hub in east-central France, centered on the city of Lyon and known for its historical architecture, gastronomy, and role as a key transport and industrial center.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde772559c819080f411802bbcfef1 completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:53 p.m.