Triple

T4984920
Position Surface form Disambiguated ID Type / Status
Subject Hydra, Greece E111976 entity
Predicate bannedTransport P43036 FINISHED
Object private cars 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: private cars | Statement: [Hydra, Greece, bannedTransport, private cars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bannedTransport
Context triple: [Hydra, Greece, bannedTransport, private cars]
  • A. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • B. transports
    Indicates that one entity carries or conveys another entity from one place to another.
  • C. allowedTransport
    Indicates that a particular mode or means of transport is permitted for use between the related entities.
  • D. transportRestriction
    Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
  • E. bannedInCountry chosen
    Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71492dec8190af4c27a3043b35cc completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:33 p.m.