Triple

T29838641
Position Surface form Disambiguated ID Type / Status
Subject A Hundred Years of Photography 1839–1939 E757723 entity
Predicate startOfTimeSpanCovered P9200 FINISHED
Object 1839 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: 1839 | Statement: [A Hundred Years of Photography 1839–1939, startOfTimeSpanCovered, 1839]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startOfTimeSpanCovered
Context triple: [A Hundred Years of Photography 1839–1939, startOfTimeSpanCovered, 1839]
  • A. timePeriodCoveredTo
    Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
  • B. coversPeriodStart chosen
    Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
  • C. recordedInPeriodStart
    Indicates that an event or record began or was first documented at the start of a specified time period.
  • D. timeSpanEndsBefore
    Indicates that one time span concludes entirely before the starting point of another time span, with no overlap between them.
  • E. timeSpanIncludes
    Indicates that one time span fully contains or covers the entire duration of another time span.
  • 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_69f224593f6c81908785a560fe659f58 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fe8ddf70e48190a917eb9e8f7b6966 completed May 9, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69fe87ef94dc81909bb00ec8d6de9bcd completed May 9, 2026, 1:03 a.m.
Created at: April 29, 2026, 5:38 p.m.