Triple

T6166821
Position Surface form Disambiguated ID Type / Status
Subject Ground Zero E137583 entity
Predicate hasLevelType P69163 FINISHED
Object scenario-based level 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: scenario-based level | Statement: [Ground Zero, hasLevelType, scenario-based level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLevelType
Context triple: [Ground Zero, hasLevelType, scenario-based level]
  • A. hasLevel
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • B. hasCategoryLevel
    Indicates that something is associated with a specific hierarchical category or tier within a classification system.
  • C. hasNumberOfLevels
    Indicates that an entity possesses a specified count of distinct levels or tiers.
  • D. hasLocalLevel
    Indicates that one entity possesses, is associated with, or is defined at a specific local administrative or organizational level relative to another entity.
  • E. hasMultipleLevels
    Indicates that something is organized into more than one hierarchical or structural level.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6366948190b35ef44dd9d6fcd6 completed March 22, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69c055f5b81481908819515cdc334ae6 completed March 22, 2026, 8:49 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:17 p.m.