Triple

T3642554
Position Surface form Disambiguated ID Type / Status
Subject PRR T1 E77221 entity
Predicate productionUnits P19248 FINISHED
Object 50 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: 50 | Statement: [PRR T1, productionUnits, 50]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionUnits
Context triple: [PRR T1, productionUnits, 50]
  • A. productionBy
    Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
  • B. totalProduction
    Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
  • C. productionElement
    Indicates that one entity functions as a component, ingredient, or constituent used in the creation, manufacture, or production of another entity.
  • D. numberOfUnits chosen
    Indicates the quantity or count of discrete units associated with an entity or relationship.
  • E. productionScale
    Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc359a91481908aef1c022f45e55c completed March 8, 2026, 6:43 p.m.
PD Predicate disambiguation batch_69adb8445b2c8190ab07f6ad4e010d0e completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.