Triple

T7438126
Position Surface form Disambiguated ID Type / Status
Subject Charleville-Mézières E171671 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Sedan E100294 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: Sedan | Statement: [Charleville-Mézières, hasRailConnectionTo, Sedan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sedan
Context triple: [Charleville-Mézières, hasRailConnectionTo, Sedan]
  • A. Sedan chosen
    Sedan is a town in northeastern France best known as the site of major military engagements, including pivotal battles in both the Franco-Prussian War and World War II.
  • B. SUV
    SUV is the IATA airport code for Nausori International Airport, which serves Suva, the capital of Fiji.
  • C. C-Class
    The C-Class is a compact executive car line from Mercedes-Benz known for blending luxury, performance, and advanced technology in a smaller sedan, coupe, and wagon format.
  • D. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • E. Gran Coupé
    Gran Coupé is BMW’s four-door coupé body style, combining a sleek coupé silhouette with the practicality of additional doors and enhanced interior space.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34aa3388190ac300cf934042d78 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278cd9cc8190b88767c1432b3007 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.