Triple

T14110041
Position Surface form Disambiguated ID Type / Status
Subject Louis Du Pont Duchambon E339610 entity
Predicate governmentSystemOfTerritory P64226 FINISHED
Object French colonial administration 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: French colonial administration | Statement: [Louis Du Pont Duchambon, governmentSystemOfTerritory, French colonial administration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentSystemOfTerritory
Context triple: [Louis Du Pont Duchambon, governmentSystemOfTerritory, French colonial administration]
  • A. governingBodyTerritory
    Indicates the territory or geographic area over which a governing body has authority or jurisdiction.
  • B. governmentFormOfTerritory chosen
    Indicates the type or system of governance that is in place for a given territory.
  • C. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • D. governingSystemCountry
    Indicates that a particular system of governance is the ruling or official governing system used by a given country.
  • E. sovereigntyRegime
    Indicates the type or structure of political authority and control exercised over a territory or population.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.