Triple

T15983314
Position Surface form Disambiguated ID Type / Status
Subject TGV trainsets E387628 entity
Predicate safetySystem P840 FINISHED
Object KVB E194420 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: KVB | Statement: [TGV trainsets, safetySystem, KVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVB
Context triple: [TGV trainsets, safetySystem, KVB]
  • A. KVB chosen
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • B. KVB
    KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
  • C. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • D. KCB
    KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
  • E. KVG
    KVG is the three-letter IATA airport code assigned to Kavieng Airport in Papua New Guinea.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15756d6488190ac35da00e96ce21d completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cdf7848190848e9081027dc027 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.