Triple

T1795393
Position Surface form Disambiguated ID Type / Status
Subject Diamond E39591 entity
Predicate fracture P32005 FINISHED
Object conchoidal 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: conchoidal | Statement: [Diamond, fracture, conchoidal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fracture
Context triple: [Diamond, fracture, conchoidal]
  • A. broken
    Indicates that an entity is damaged or no longer functioning as intended, often as the result of some prior action or event.
  • B. fault
    Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
  • C. injuryType
    Indicates the specific kind or category of injury associated with an entity or event.
  • D. spontaneouslyBrokenBy
    Indicates that a symmetry or property is not explicitly violated by the underlying laws but is instead broken by the system’s ground state or configuration due to spontaneous symmetry breaking caused by the specified entity or mechanism.
  • E. fallsOn
    Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab61b6ea188190aab9fb839bf1e367 completed March 6, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69aa61d2f7a8819090301f92d3e358c7 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab61b5c8988190bb2b46182a4eb5b4 completed March 6, 2026, 11:22 p.m.
Created at: March 4, 2026, 7:32 p.m.