Triple

T13258754
Position Surface form Disambiguated ID Type / Status
Subject Neptune, California E315731 entity
Predicate inUniverseIssue P109186 FINISHED
Object political corruption 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: political corruption | Statement: [Neptune, California, inUniverseIssue, political corruption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inUniverseIssue
Context triple: [Neptune, California, inUniverseIssue, political corruption]
  • A. inUniverse
    Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
  • B. inUniverseContribution
    Indicates that an entity contributes content, events, or elements that exist within the fictional universe or canon of another entity.
  • C. inUniverseType
    Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
  • D. inUniverseOrigin
    Indicates that one entity originates from, or has its source within, the fictional universe or setting defined by another entity.
  • E. inUniverseConsequence
    Indicates that one event, action, or state leads to a resulting effect or outcome within the same fictional or defined universe.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
PDg Predicate description generation batch_69d99cf7f9c48190a6a4f452b4a2aefa completed April 11, 2026, 12:59 a.m.
Created at: April 9, 2026, 9:25 p.m.