Triple

T18283557
Position Surface form Disambiguated ID Type / Status
Subject De lingua Latina E437922 entity
Predicate partiallySurvivingBookNumber P35792 FINISHED
Object Book 25 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: Book 25 | Statement: [De lingua Latina, partiallySurvivingBookNumber, Book 25]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partiallySurvivingBookNumber
Context triple: [De lingua Latina, partiallySurvivingBookNumber, Book 25]
  • A. survivingPortions
    Indicates that certain parts or segments of something remain intact or extant after other portions have been lost, destroyed, or removed.
  • B. survivesBy
    Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
  • C. partiallyPreserved chosen
    Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
  • D. numberOfSurvivingSpecimens
    Indicates the count of individual specimens that remain alive or intact after a particular event, period, or condition.
  • E. partlyPreservedAs
    Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500f7ff088190933bb8f403ce7f9c completed April 19, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69e44fd81c788190b08c6be3b07a08c5 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:35 a.m.