Triple

T16089596
Position Surface form Disambiguated ID Type / Status
Subject Můstek E390325 entity
Predicate fareZone P844 FINISHED
Object PID Zone P
PID Zone P is the central Prague public transport tariff zone that covers the historic city core and its busiest transit hubs.
 E1192866 NE FINISHED

How this triple was built (4 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: PID Zone P | Statement: [Můstek, fareZone, PID Zone P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PID Zone P
Context triple: [Můstek, fareZone, PID Zone P]
  • A. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • B. PZ
    PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • 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 Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • E. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PID Zone P
Triple: [Můstek, fareZone, PID Zone P]
Generated description
PID Zone P is the central Prague public transport tariff zone that covers the historic city core and its busiest transit hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PID Zone P
Target entity description: PID Zone P is the central Prague public transport tariff zone that covers the historic city core and its busiest transit hubs.
  • A. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • B. PZ
    PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • 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 Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • E. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • F. None of above. chosen

Provenance (5 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_69e1845161908190adca2af94710b2cc completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe63f757c81908c7dc3c5ae3075c6 completed May 10, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6b3f25481908dd4b6108b5d95c0 completed May 10, 2026, 2 a.m.
Created at: April 10, 2026, 4:59 a.m.