Triple

T11729488
Position Surface form Disambiguated ID Type / Status
Subject lewisite E278861 entity
Predicate decomposesIn P101028 FINISHED
Object alkaline solutions 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: alkaline solutions | Statement: [lewisite, decomposesIn, alkaline solutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: decomposesIn
Context triple: [lewisite, decomposesIn, alkaline solutions]
  • A. hasDecomposition
    Indicates that something can be broken down or separated into constituent parts, components, or simpler elements.
  • B. decompositionType
    Indicates the specific way in which a whole is broken down into its constituent parts or components.
  • C. decomposesAbove
    Indicates that one entity breaks down or disintegrates into parts or components that are located spatially above another entity.
  • D. yieldsDecomposition
    Indicates that one entity produces or results in a particular breakdown or decomposition of another entity.
  • E. canBeDissectedBy
    Indicates that one entity is capable of being divided or analyzed into parts by another entity or method.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d80ef881908cab956787ab07fd completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7f51248190bf492bd7509b5413 completed April 10, 2026, 5:28 a.m.
PDg Predicate description generation batch_69d890458d948190b15054c9ba0fd923 completed April 10, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:41 p.m.