Triple

T14402547
Position Surface form Disambiguated ID Type / Status
Subject Traficom E357106 entity
Predicate abbreviation P43 FINISHED
Object Traficom E357106 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: Traficom | Statement: [Traficom, abbreviation, Traficom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traficom
Context triple: [Traficom, abbreviation, Traficom]
  • A. Traficom chosen
    Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
  • B. Trafic
    Trafic is a 1971 French comedy film by Jacques Tati that satirically follows the misadventures of a bumbling car designer trying to deliver his innovative vehicle to an auto show.
  • C. Midttrafik
    Midttrafik is the regional public transport authority responsible for coordinating and operating buses, light rail, and related services in Denmark’s Central Jutland region.
  • D. Traffik
    Traffik is a 2018 American thriller film in which Paula Patton stars as a woman whose romantic getaway turns deadly after she and her boyfriend encounter a violent biker gang involved in human trafficking.
  • E. Traffik
    Traffik is a 1989 British television miniseries that explores the international heroin trade and inspired the later American film "Traffic."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5520c07c8190bfdaf224dd779ced completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.