Triple

T19325052
Position Surface form Disambiguated ID Type / Status
Subject Dien Bien province E483324 entity
Predicate hasAdministrativeUnits P3892 FINISHED
Object districts 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: districts | Statement: [Dien Bien province, hasAdministrativeUnits, districts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeUnits
Context triple: [Dien Bien province, hasAdministrativeUnits, districts]
  • A. hasAdministrativeUnit chosen
    Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
  • B. isAdministrativeUnit
    Indicates that one entity functions as an official administrative division or unit within the governance or organizational structure of another entity.
  • C. isAdministrativeUnitWithin
    Indicates that one administrative unit is geographically or jurisdictionally contained within another administrative unit.
  • D. usedAsAdministrativeUnit
    Indicates that an entity functions as an official administrative unit within a governance or organizational structure.
  • E. separatesAdministrativeUnits
    Indicates that one entity serves as a boundary or divider that distinguishes or splits different administrative units from each other.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8af43c81908e5a8780c35a8e1d completed April 20, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69e4dd0ef66881909d489d634eee817a completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:32 p.m.