Triple

T36805190
Position Surface form Disambiguated ID Type / Status
Subject dubnium E909428 entity
Predicate discoveryControversy P1783 FINISHED
Object subject of naming dispute between US and Soviet teams 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: subject of naming dispute between US and Soviet teams | Statement: [dubnium, discoveryControversy, subject of naming dispute between US and Soviet teams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discoveryControversy
Context triple: [dubnium, discoveryControversy, subject of naming dispute between US and Soviet teams]
  • A. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • B. controversy chosen
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • C. dataControversy
    Indicates that there is dispute, concern, or disagreement surrounding the collection, use, interpretation, or ownership of certain data.
  • D. locationOfControversy
    Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
  • E. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association 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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 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, 4:12 p.m.