Triple

T4384509
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Grand Prix E99207 entity
Predicate fuelEffect P56271 FINISHED
Object high 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: high | Statement: [Bahrain Grand Prix, fuelEffect, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fuelEffect
Context triple: [Bahrain Grand Prix, fuelEffect, high]
  • A. fuelSystem
    Indicates a relationship where one entity serves as the fuel system (or part of it) that supplies, stores, or manages fuel for the operation of another entity.
  • B. fuelEfficiency
    Indicates how effectively an entity uses fuel to perform a given amount of work or travel a certain distance.
  • C. fuelFraction
    Indicates the proportion of an object's total mass or capacity that consists of fuel.
  • D. fuelForm
    Indicates the physical or chemical form in which a fuel exists or is supplied (e.g., liquid, gas, solid).
  • E. typicalFuel
    Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
  • F. None of above. chosen

Provenance (4 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35263970c8190904ee20d81715833 completed March 12, 2026, 11:55 p.m.
PD Predicate disambiguation batch_69b34f572efc8190bad1e5078cbcb75a completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3501834448190bedf775a80da4778 completed March 12, 2026, 11:45 p.m.
Created at: March 12, 2026, 11:19 p.m.