Triple

T8953793
Position Surface form Disambiguated ID Type / Status
Subject Middle Bronze Age E213420 entity
Predicate temporalContextOf P4137 FINISHED
Object rise of Old Babylonian period in Mesopotamia 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: rise of Old Babylonian period in Mesopotamia | Statement: [Middle Bronze Age, temporalContextOf, rise of Old Babylonian period in Mesopotamia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalContextOf
Context triple: [Middle Bronze Age, temporalContextOf, rise of Old Babylonian period in Mesopotamia]
  • A. temporalAspect
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • B. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • C. temporality
    Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
  • D. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
  • E. temporalRelation chosen
    Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69cc5ed74d288190b712d739805579dc completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7 p.m.