Triple

T2167642
Position Surface form Disambiguated ID Type / Status
Subject Wari Empire E46946 entity
Predicate usedAdministrativeCenterType P11544 FINISHED
Object provincial centers 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: provincial centers | Statement: [Wari Empire, usedAdministrativeCenterType, provincial centers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAdministrativeCenterType
Context triple: [Wari Empire, usedAdministrativeCenterType, provincial centers]
  • A. usesAdministrativeDivisionType
    Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
  • B. centerType chosen
    Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
  • C. hasAdministrativeType
    Indicates that an entity is associated with a specific category or level of administrative classification (such as type of jurisdiction or administrative unit).
  • D. establishedInAdministrativeUnit
    Indicates that something (such as an organization, facility, or institution) was founded or formally created within a specific administrative unit or jurisdiction.
  • E. usedOfficeFor
    Indicates that an entity made use of a particular office or office space for some purpose or activity.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.