Triple

T32538731
Position Surface form Disambiguated ID Type / Status
Subject modern France E831658 entity
Predicate hasOverseasRegions P30461 FINISHED
Object Guadeloupe NE NERFINISHED

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: Guadeloupe | Statement: [modern France, hasOverseasRegions, Guadeloupe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOverseasRegions
Context triple: [modern France, hasOverseasRegions, Guadeloupe]
  • A. overseasRegionOf
    Indicates that one region is an overseas territory or administrative division belonging to another country or primary region.
  • B. containsOverseasRegionOrCollectivity chosen
    Indicates that an entity includes within its jurisdiction or composition at least one overseas region or collectivity.
  • C. hasOverseasPresenceIn
    Indicates that an entity maintains operations, offices, or activities in a foreign country or region.
  • D. hasOverseasTerritory
    Indicates that one entity possesses or controls a territory located outside its own primary geographic or sovereign domain.
  • E. overseasCountry
    Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
  • 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c579194c819096d249335b3ccf6d completed May 3, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 1:02 a.m.