Triple

T37459132
Position Surface form Disambiguated ID Type / Status
Subject Crackle E930873 entity
Predicate damageMaximum P187869 FINISHED
Object 6 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: 6 | Statement: [Crackle, damageMaximum, 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: damageMaximum
Context triple: [Crackle, damageMaximum, 6]
  • A. damageRating
    Indicates the assessed level or severity of damage associated with an entity or event.
  • B. damageAmount chosen
    Indicates the quantity or extent of damage inflicted, suffered, or associated with an entity or event.
  • C. damageBasis
    Indicates the underlying reason, cause, or basis on which damage is determined or assessed in a given context.
  • D. damageMinimum
    Indicates the least amount of damage that must be dealt or can occur in the described context.
  • E. damageEffect
    Indicates that one entity causes harm, reduction, or deterioration to another entity or its properties.
  • 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:17 p.m.