Triple

T9848549
Position Surface form Disambiguated ID Type / Status
Subject Monster Jam E239404 entity
Predicate typicalTruckWeightRange P90341 FINISHED
Object 10000–12000 pounds 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: 10000–12000 pounds | Statement: [Monster Jam, typicalTruckWeightRange, 10000–12000 pounds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTruckWeightRange
Context triple: [Monster Jam, typicalTruckWeightRange, 10000–12000 pounds]
  • A. associatedVehicleWeightClass
    Indicates the weight classification category that is linked or assigned to a particular vehicle.
  • B. emptyWeight
    Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
  • C. weightLimitInPounds
    Indicates the maximum allowable weight for something, expressed in pounds.
  • D. cargoVehicle
    Indicates a relationship where a vehicle is used or designated for transporting cargo or goods.
  • E. announcedGrossVehicleWeightRating
    Indicates that an entity has a specified gross vehicle weight rating that has been formally announced or declared.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb371894c8190971ba497a2801521 completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
PDg Predicate description generation batch_69cd06ace53081909b5f81f382f6591e completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:34 p.m.