Triple

T16089942
Position Surface form Disambiguated ID Type / Status
Subject Prague trams E390334 entity
Predicate usesRollingStock P5426 FINISHED
Object KT8D5 trams E520472 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: KT8D5 trams | Statement: [Prague trams, usesRollingStock, KT8D5 trams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KT8D5 trams
Context triple: [Prague trams, usesRollingStock, KT8D5 trams]
  • A. Tatra KT8D5 tram chosen
    The Tatra KT8D5 tram is a high-floor, articulated tramcar model produced in Czechoslovakia in the 1980s, widely used in several Central and Eastern European cities.
  • B. T-68 tram
    The T-68 tram was a type of light rail vehicle used on Greater Manchester’s Metrolink system in the UK before being replaced by newer models.
  • C. Stadler Tango trams
    Stadler Tango trams are modern, low-floor light rail vehicles built by Stadler Rail, commonly used in European cities for high-capacity, urban public transport services.
  • D. SL95 tram
    The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
  • E. LM-93 tram
    The LM-93 tram is a Russian-built light rail vehicle model commonly used in city tram and metrotram systems such as the Volgograd Metrotram.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e184522b2c8190986daae6cb2d9db4 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:59 a.m.