Triple

T24782024
Position Surface form Disambiguated ID Type / Status
Subject Auto-Train Corporation service (1971–1981) E620018 entity
Predicate effectOfExpansion P158671 FINISHED
Object increased financial strain 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: increased financial strain | Statement: [Auto-Train Corporation service (1971–1981), effectOfExpansion, increased financial strain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOfExpansion
Context triple: [Auto-Train Corporation service (1971–1981), effectOfExpansion, increased financial strain]
  • A. expansionOrContraction
    Indicates a change in size, volume, or extent of something, whether it is increasing (expanding) or decreasing (contracting).
  • B. sectorExpansion
    Indicates an increase or broadening in the size, scope, or activity level of a particular sector or industry over time.
  • C. expansionAdded
    Indicates that an additional component, feature, or content has been incorporated into an existing entity or system.
  • D. expansionReason
    Indicates the reason or cause behind an expansion event or process occurring between entities.
  • E. expands
    Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
  • 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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
PDg Predicate description generation batch_69f47b7f657c81908174590c811a3cbf completed May 1, 2026, 10:07 a.m.
Created at: April 18, 2026, 4:44 a.m.