Triple

T10389025
Position Surface form Disambiguated ID Type / Status
Subject Number Theory: An Approach through History from Hammurapi to Legendre E244841 entity
Predicate chronologicalScopeEnd P82593 FINISHED
Object early 19th century 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: early 19th century | Statement: [Number Theory: An Approach through History from Hammurapi to Legendre, chronologicalScopeEnd, early 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologicalScopeEnd
Context triple: [Number Theory: An Approach through History from Hammurapi to Legendre, chronologicalScopeEnd, early 19th century]
  • A. chronologyEnd
    Indicates that one event, state, or time interval marks the ending point or conclusion of another in a temporal sequence.
  • B. chroniclesEndDate
    Indicates the date on which a chronicle, record, or documented series of events concludes.
  • C. chronologyStart
    Indicates the point in time at which a sequence, event, or temporal record begins.
  • D. chronologicalRange chosen
    Indicates the temporal span or period over which something occurs, is valid, or is relevant.
  • E. chronologyOf
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b40dd8819080ac839487020a44 completed April 7, 2026, 11:25 a.m.
PD Predicate disambiguation batch_69d4dfb0e7a88190bec0b7a52c70dfe2 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 12:05 p.m.