Triple

T1374175
Position Surface form Disambiguated ID Type / Status
Subject Trinidad E30181 entity
Predicate tonnageApproximate P24299 FINISHED
Object about 110 tons 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: about 110 tons | Statement: [Trinidad, tonnageApproximate, about 110 tons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tonnageApproximate
Context triple: [Trinidad, tonnageApproximate, about 110 tons]
  • A. tonnage chosen
    Indicates the relationship between an object and the measure of its weight or cargo capacity, typically expressed in tons.
  • B. emptyWeight
    Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
  • C. approximateMass
    Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
  • 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. grossTonnage
    Indicates the total internal volume or carrying capacity of a vessel, measured in gross tons, as defined by maritime tonnage rules.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f660888190bc9240e0dc4f0aa3 completed March 1, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69a4befcabdc8190a9f05d002603f81c completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.