Triple

T1960711
Position Surface form Disambiguated ID Type / Status
Subject Pyrrha E42378 entity
Predicate floodCause P34423 FINISHED
Object punishment of humanity by Zeus 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: punishment of humanity by Zeus | Statement: [Pyrrha, floodCause, punishment of humanity by Zeus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: floodCause
Context triple: [Pyrrha, floodCause, punishment of humanity by Zeus]
  • A. floodSeasonCause
    Indicates the cause or contributing factor responsible for a particular flood season occurring.
  • B. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • C. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • D. dikeBreaches
    Indicates that a dike fails or ruptures, allowing water to break through its barrier.
  • E. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb68a8e608190bc37a85913b3cd44 completed March 7, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69abaff5dbd48190a9d36ca60de151db completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb6893eb881908923f0168374596a completed March 7, 2026, 5:24 a.m.
Created at: March 4, 2026, 7:36 p.m.