Triple

T7464866
Position Surface form Disambiguated ID Type / Status
Subject 1963 Skopje earthquake E176346 entity
Predicate buildingsDestroyedOrDamaged P1583 FINISHED
Object around 80 percent of the city’s buildings 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: around 80 percent of the city’s buildings | Statement: [1963 Skopje earthquake, buildingsDestroyedOrDamaged, around 80 percent of the city’s buildings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: buildingsDestroyedOrDamaged
Context triple: [1963 Skopje earthquake, buildingsDestroyedOrDamaged, around 80 percent of the city’s buildings]
  • A. buildingsDestroyed chosen
    Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
  • B. areaDestroyed
    Indicates that a specified portion or region has been damaged or ruined to the point of destruction.
  • C. sufferedDestructionIn
    Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
  • D. originalBuildingDestroyedBy
    Indicates that the original building was destroyed as a result of the actions or effects of the specified agent or cause.
  • E. destroyedCity
    Indicates that an entity has caused the complete or near-complete destruction of a city.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f28f34819080713a8abcc22034 completed March 27, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c6f03bad9c8190bdd5abb86d37df47 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:40 p.m.