Triple

T9466610
Position Surface form Disambiguated ID Type / Status
Subject Magical Incubator E228286 entity
Predicate appliedBecause P2419 FINISHED
Object Building 20 produced disproportionate scientific output 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: Building 20 produced disproportionate scientific output | Statement: [Magical Incubator, appliedBecause, Building 20 produced disproportionate scientific output]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedBecause
Context triple: [Magical Incubator, appliedBecause, Building 20 produced disproportionate scientific output]
  • A. appliedBecauseOf chosen
    Indicates that one entity is applied, used, or enacted as a consequence or result of another specified cause or condition.
  • B. appliedBy
    Indicates that an action, process, or treatment is carried out or executed by a particular agent or entity.
  • C. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • D. appliedSince
    Indicates that a particular condition, rule, status, or action has been in effect starting from a specified point in time and continues from that date onward.
  • E. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69cca55f01b081908dc0f12eaa45f832 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:53 p.m.