Triple

T14863172
Position Surface form Disambiguated ID Type / Status
Subject HMT Dunera E349548 entity
Predicate voyageCharacterization P24304 FINISHED
Object harsh 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: harsh | Statement: [HMT Dunera, voyageCharacterization, harsh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voyageCharacterization
Context triple: [HMT Dunera, voyageCharacterization, harsh]
  • A. voyageOn
    Indicates that an entity is traveling or being transported aboard a particular vessel or means of sea (or space) travel.
  • B. voyageWith
    Indicates that two or more entities travel together on the same journey or trip, sharing a common route or voyage.
  • C. voyageType chosen
    Indicates the specific category or nature of a journey or trip that an entity undertakes.
  • D. inspiredVoyage
    Indicates that one entity’s ideas, actions, or example motivated another entity to undertake a particular journey or expedition.
  • E. featuresVessel
    Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded574d0ec8190a6afed672ba6c2f9 completed April 15, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:54 a.m.