Triple

T30221151
Position Surface form Disambiguated ID Type / Status
Subject censor (Roman Republic) E768346 entity
Predicate couldRemove P170756 FINISHED
Object public horse from equites 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: public horse from equites | Statement: [censor (Roman Republic), couldRemove, public horse from equites]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: couldRemove
Context triple: [censor (Roman Republic), couldRemove, public horse from equites]
  • A. mayRemove
    Indicates that one entity is permitted or authorized to remove another entity or its association.
  • B. canBeRemovedBy
    Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
  • C. removal
    Indicates the action or process by which something is taken away, eliminated, or detached from something else.
  • D. removable
    Indicates that one entity can be detached, taken off, or separated from another without causing damage or permanent alteration.
  • E. couldBeDismissedBy
    Indicates that one entity has the authority or power to terminate, remove, or discharge the other from a position, role, or obligation.
  • 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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f695f9fe7c819084322bf6cdc70a13 completed May 3, 2026, 12:25 a.m.
PD Predicate disambiguation batch_69f690ed5d008190831cf8e44cce28af completed May 3, 2026, 12:03 a.m.
PDg Predicate description generation batch_69f695385a2881908cc28ef97fffc867 completed May 3, 2026, 12:22 a.m.
Created at: April 29, 2026, 7:35 p.m.