Triple

T15849955
Position Surface form Disambiguated ID Type / Status
Subject Merarites E384307 entity
Predicate receivedFromPrinces P52361 FINISHED
Object oxen for transport 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: oxen for transport | Statement: [Merarites, receivedFromPrinces, oxen for transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedFromPrinces
Context triple: [Merarites, receivedFromPrinces, oxen for transport]
  • A. receivesMonarchsFrom
    Indicates that one entity is the destination or recipient of monarchs that come or are sent from another entity.
  • B. crownPrinceFrom
    Indicates that one entity is the crown prince originating from, or holding that title in relation to, another entity (typically a country, state, or royal house).
  • C. crownPrinceTo
    Indicates that one entity is the designated crown prince or heir apparent to another entity, typically a monarch or ruling position.
  • D. receivedImperialOrderFrom
    Indicates that one entity has been formally given an official command or directive by an imperial authority or ruler.
  • E. recipientOf chosen
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.