Triple

T14996469
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt Stadion station E373968 entity
Predicate hasEventTrafficManagement P80729 FINISHED
Object special event trains for stadium events 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: special event trains for stadium events | Statement: [Frankfurt Stadion station, hasEventTrafficManagement, special event trains for stadium events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEventTrafficManagement
Context triple: [Frankfurt Stadion station, hasEventTrafficManagement, special event trains for stadium events]
  • A. hasTrafficManagement
    Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
  • B. hasTrafficFunction
    Indicates that an entity performs, supports, or is assigned a specific function or role related to traffic management or control.
  • C. hasTrafficMonitoring
    Indicates that an entity is equipped with or associated with a system or capability for observing, measuring, or analyzing traffic conditions or flows.
  • D. hasPortTraffic
    Indicates that there is a flow or volume of traffic (such as ships, cargo, or passengers) associated with a particular port.
  • E. hasTrafficFeature chosen
    Indicates that an entity possesses or is associated with a specific traffic-related characteristic, element, or infrastructure feature.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.