Triple

T8757668
Position Surface form Disambiguated ID Type / Status
Subject MAC Freedom E208111 entity
Predicate primarySubdivisionCount P85219 FINISHED
Object 2 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: 2 | Statement: [MAC Freedom, primarySubdivisionCount, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySubdivisionCount
Context triple: [MAC Freedom, primarySubdivisionCount, 2]
  • A. primarySubdivisionOf
    Indicates that one administrative or territorial unit is the main first-level subdivision within a larger political or geographic entity.
  • B. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • C. subdivisionRank
    Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
  • D. firstLevelSubdivisionUsed
    Indicates that a given entity uses or is organized according to a specified first-level administrative or territorial subdivision (such as a state, province, or region).
  • E. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • F. None of above. chosen

Provenance (4 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddc2d9c81908948aee2b956cce4 completed March 31, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69cc5c1884bc8190a46e8308db31f7ab completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cfddef48190aee764ee7b25bae9 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:40 p.m.