Triple

T38012789
Position Surface form Disambiguated ID Type / Status
Subject UN 1671 E948409 entity
Predicate hasSecondaryHazard P142138 FINISHED
Object corrosivity 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: corrosivity | Statement: [UN 1671, hasSecondaryHazard, corrosivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecondaryHazard
Context triple: [UN 1671, hasSecondaryHazard, corrosivity]
  • A. secondaryHazardType chosen
    Indicates the type or category of a hazard that occurs as a secondary or consequential effect of a primary hazard or event.
  • B. hasNotableHazard
    Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
  • C. isHazard
    Indicates that something poses a potential risk, danger, or harmful condition to people, property, or the environment.
  • D. hasHazardCharacteristic
    Indicates that an entity possesses a specific hazardous property, condition, or risk-related characteristic.
  • E. isHazardTo
    Indicates that one entity poses a potential source of danger, harm, or risk to another entity.
  • 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_69f76efb4b10819092c8c2ba28ac06a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00b6199c348190b1e90375f737d026 completed May 10, 2026, 4:45 p.m.
PD Predicate disambiguation batch_6a00b5169a7881909a07167c4188731f completed May 10, 2026, 4:40 p.m.
Created at: May 3, 2026, 4:20 p.m.