Triple

T3417139
Position Surface form Disambiguated ID Type / Status
Subject Hallesches Tor E72035 entity
Predicate hasTicketZoneCode P42683 FINISHED
Object A LITERAL 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: A | Statement: [Hallesches Tor, hasTicketZoneCode, A]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketZoneCode
Context triple: [Hallesches Tor, hasTicketZoneCode, A]
  • A. ticketingZoneType
    Indicates the type or category of ticketing zone that applies within a given area or context.
  • B. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. ticketingCode chosen
    Indicates the specific fare or booking code associated with a ticket that defines its pricing, rules, and conditions of use.
  • D. hasZone
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • E. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • F. None of above.

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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92c20fc81909b5debced20ec083 completed March 8, 2026, 6 p.m.
PD Predicate disambiguation batch_69adadfcbc38819080852c18240451c5 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.