Triple

T31953992
Position Surface form Disambiguated ID Type / Status
Subject Novi Grad E815854 entity
Predicate threatTypeExperienced P50110 FINISHED
Object city-wide destruction 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: city-wide destruction | Statement: [Novi Grad, threatTypeExperienced, city-wide destruction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: threatTypeExperienced
Context triple: [Novi Grad, threatTypeExperienced, city-wide destruction]
  • A. threatType chosen
    Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
  • B. threatTypeMonitored
    Indicates that a particular type of threat is being actively observed, tracked, or watched for by some monitoring process or system.
  • C. threatEncounteredNear
    Indicates that a threat was encountered in close spatial proximity to a specified reference point or entity.
  • D. threatTypeEngaged
    Indicates that an entity has actively engaged with or responded to a specific type of threat.
  • E. threatTypeAddressed
    Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
  • 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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b967d5308190bbb66d0a8dd52612 completed May 3, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69f6b6293188819080d5041ca0adb969 completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:08 a.m.