Triple

T47150
Position Surface form Disambiguated ID Type / Status
Subject American South (19th and early 20th centuries) E923 entity
Predicate experiencedChange P1626 FINISHED
Object slow industrialization in some urban centers 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: slow industrialization in some urban centers | Statement: [American South (19th and early 20th centuries), experiencedChange, slow industrialization in some urban centers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: experiencedChange
Context triple: [American South (19th and early 20th centuries), experiencedChange, slow industrialization in some urban centers]
  • A. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • B. phenomenon chosen
    Indicates that an entity is a perceptible event, occurrence, or process that can be observed or experienced.
  • C. significantEvent
    Indicates that an event involving the entities is of notable importance or impact within a given context.
  • D. considered
    Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
  • E. turningPointIn
    Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69a24abd07508190a83ffba5368c1c79 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.