Triple

T13256408
Position Surface form Disambiguated ID Type / Status
Subject Crawlerway E315668 entity
Predicate loadBearingCapacity P71822 FINISHED
Object supports thousands of tons of vehicle and transporter mass 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: supports thousands of tons of vehicle and transporter mass | Statement: [Crawlerway, loadBearingCapacity, supports thousands of tons of vehicle and transporter mass]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loadBearingCapacity
Context triple: [Crawlerway, loadBearingCapacity, supports thousands of tons of vehicle and transporter mass]
  • A. loadBearingFor chosen
    Indicates that one entity structurally supports and carries the weight or load of another entity.
  • B. foundationType
    Indicates the structural or organizational basis on which something is built, established, or supported.
  • C. canBeBorneBy
    Indicates that one entity is capable of being carried, supported, or transported by another entity.
  • D. NortonResistanceCalculation
    Indicates the calculation of the equivalent resistance in a circuit when represented in its Norton equivalent form.
  • E. cliffStability
    Indicates the degree to which a cliff is structurally secure and resistant to collapse or erosion under current conditions.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:24 p.m.