Triple

T10624602
Position Surface form Disambiguated ID Type / Status
Subject H3RC E250289 entity
Predicate associatedWithGrossTonnage P19645 FINISHED
Object 219079 GT 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: 219079 GT | Statement: [H3RC, associatedWithGrossTonnage, 219079 GT]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithGrossTonnage
Context triple: [H3RC, associatedWithGrossTonnage, 219079 GT]
  • A. grossTonnage chosen
    Indicates the total internal volume or carrying capacity of a vessel, measured in gross tons, as defined by maritime tonnage rules.
  • B. maxVesselTonnage
    Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
  • C. tonnageClass
    Indicates a classification relationship where an entity is assigned to a category based on its tonnage (weight or carrying capacity range).
  • D. deadweightTonnage
    Indicates the total carrying capacity of a vessel, measured as the maximum weight of cargo, fuel, passengers, provisions, and other loads it can safely transport.
  • E. tonnage
    Indicates the relationship between an object and the measure of its weight or cargo capacity, typically expressed in tons.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:53 p.m.