Triple

T9371130
Position Surface form Disambiguated ID Type / Status
Subject Marcus Claudius Marcellus E225530 entity
Predicate oneOfFewToReceive P35467 FINISHED
Object spolia opima in Roman history — 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: spolia opima in Roman history | Statement: [Marcus Claudius Marcellus, oneOfFewToReceive, spolia opima in Roman history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfFewToReceive
Context triple: [Marcus Claudius Marcellus, oneOfFewToReceive, spolia opima in Roman history]
  • A. oneOfFew
    Indicates that the subject is one member of a small, limited set of entities that share a specified property or role.
  • B. oneOfFewIn chosen
    Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
  • C. recipientOf
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
  • D. receives
    Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
  • E. awardedForToReceive
    Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5083cbb8819088e8cef26be1b380 completed April 1, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69cc7a6abb8c81908c7a2f4ee92cc949 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:43 p.m.