Triple

T3939051
Position Surface form Disambiguated ID Type / Status
Subject PM E91986 entity
Predicate territorialStatusOfRegion P4809 FINISHED
Object French overseas collectivity 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 overseas collectivity | Statement: [PM, territorialStatusOfRegion, French overseas collectivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: territorialStatusOfRegion
Context triple: [PM, territorialStatusOfRegion, French overseas collectivity]
  • A. territorialStatus chosen
    Indicates the legal or political condition of control, sovereignty, or jurisdiction that applies to a specific territory.
  • B. regionStatus
    Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
  • C. countrySubdivisionStatus
    Indicates the administrative or political status assigned to a specific subdivision within a country (such as state, province, or territory).
  • D. statusInRegion
    Indicates the specific status or condition an entity holds within a particular geographic or administrative region.
  • E. territoryType
    Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.