Triple

T20959964
Position Surface form Disambiguated ID Type / Status
Subject ICE 4 E516212 entity
Predicate trainProtectionSystem P40340 FINISHED
Object PZB NE NERFINISHED

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: PZB | Statement: [ICE 4, trainProtectionSystem, PZB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PZB
Context triple: [ICE 4, trainProtectionSystem, PZB]
  • A. PZB chosen
    PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
  • B. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • C. PZ
    PZ is the station code for Prinzregentenplatz, a Munich U-Bahn station on the city’s rapid transit network.
  • D. PZ
    PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • E. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6e50988190a564d2aaf1a9bc54 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:30 p.m.