Triple

T3306968
Position Surface form Disambiguated ID Type / Status
Subject Ab Urbe Condita E69473 entity
Predicate survivingPortions P47939 FINISHED
Object continuous books 1–10 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: continuous books 1–10 | Statement: [Ab Urbe Condita, survivingPortions, continuous books 1–10]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivingPortions
Context triple: [Ab Urbe Condita, survivingPortions, continuous books 1–10]
  • A. survivingFrom
    Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
  • B. survivesIn
    Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
  • C. survivesAs
    Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
  • D. survivingStructure
    Indicates that a structure continues to exist or remain intact after a potentially destructive event or over a significant period of time.
  • E. hasSurvivors
    Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0caa0988190872fc7648e64571f completed March 8, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada526764881908e4bd52938d5374d completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:11 p.m.