Triple

T2178653
Position Surface form Disambiguated ID Type / Status
Subject Andean Late Horizon E48588 entity
Predicate timeInRelationTo P4137 FINISHED
Object immediately before European colonization of the Andes 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: immediately before European colonization of the Andes | Statement: [Andean Late Horizon, timeInRelationTo, immediately before European colonization of the Andes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeInRelationTo
Context triple: [Andean Late Horizon, timeInRelationTo, immediately before European colonization of the Andes]
  • A. 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).
  • B. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • C. timeRelativeToBirth
    Indicates the temporal position of an event or state relative to an entity’s birth (e.g., before, at, or after birth).
  • D. timePerspective
    Indicates how an entity conceptually relates to or orients itself toward time, such as focusing on past, present, or future.
  • E. timeEquivalentOf
    Indicates that two temporal entities represent the same point in time or duration, possibly expressed in different formats or units.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.