Triple

T6049138
Position Surface form Disambiguated ID Type / Status
Subject TPG tram network E134743 entity
Predicate fareSystem P395 FINISHED
Object Unireso E127786 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: Unireso | Statement: [TPG tram network, fareSystem, Unireso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unireso
Context triple: [TPG tram network, fareSystem, Unireso]
  • A. unireso chosen
    unireso is the integrated public transport fare network for the Geneva region, coordinating tickets and tariffs across multiple operators and modes of transport.
  • B. Todai
    Todai is the common nickname for the University of Tokyo, Japan’s most prestigious and influential national research university.
  • C. Misurata University
    Misurata University is a public higher education institution in the city of Misrata, Libya, offering a range of undergraduate and postgraduate programs across multiple disciplines.
  • D. Akita University
    Akita University is a national Japanese university located in Akita Prefecture, known for its programs in engineering, education, and resource sciences.
  • E. Jobu University
    Jobu University is a Japanese private university located in Takasaki, Gunma Prefecture, offering a range of undergraduate and graduate programs.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f4f84c8190a7e2416d81b3554c completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a65164819090883dbad3be5026 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.