Triple

T8446471
Position Surface form Disambiguated ID Type / Status
Subject Forest of Brocéliande E199688 entity
Predicate traditionalLocation P3858 FINISHED
Object Armorica E134389 NE 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: Armorica | Statement: [Forest of Brocéliande, traditionalLocation, Armorica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armorica
Context triple: [Forest of Brocéliande, traditionalLocation, Armorica]
  • A. Armorica chosen
    Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
  • B. Terra Cimmeria
    Terra Cimmeria is a heavily cratered, ancient highland region in Mars’s southern hemisphere, notable for its rugged terrain and geological history.
  • C. Andalasia
    Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
  • D. Laurussia
    Laurussia, also known as Euramerica, was an ancient Paleozoic supercontinent formed by the collision of Laurentia, Baltica, and Avalonia that later played a key role in the assembly of Pangaea.
  • E. Bernicia
    Bernicia was an early medieval Anglo-Saxon kingdom in northern Britain that later became part of the larger kingdom of Northumbria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3152a3c819092efdeab718def7a completed March 31, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1db6330c81909c853c453fddf3c5 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.