Triple

T25997986
Position Surface form Disambiguated ID Type / Status
Subject M28 line E646538 entity
Predicate isPlannedToReduce P155773 FINISHED
Object road traffic congestion in Istanbul 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: road traffic congestion in Istanbul | Statement: [M28 line, isPlannedToReduce, road traffic congestion in Istanbul]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPlannedToReduce
Context triple: [M28 line, isPlannedToReduce, road traffic congestion in Istanbul]
  • A. plannedUnder
    Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
  • B. plannedIn
    Indicates that an event, activity, or process is scheduled or arranged to occur within a specific context, timeframe, or plan.
  • C. plannedPhaseDown chosen
    Indicates that an entity has scheduled or intends to gradually reduce, limit, or discontinue another entity, activity, or resource over a defined period.
  • D. plannedWith
    Indicates that an entity created or arranged a plan in collaboration or coordination with another entity.
  • E. plannedVia
    Indicates that something is arranged, organized, or scheduled by means of a particular method, process, or intermediary.
  • 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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6057012248190a486e723fdd2107e completed May 2, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 8:58 a.m.