Triple

T7727962
Position Surface form Disambiguated ID Type / Status
Subject Occitania E175178 entity
Predicate hasDialect P4251 FINISHED
Object Niçard E84097 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: Niçard | Statement: [Occitania, hasDialect, Niçard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niçard
Context triple: [Occitania, hasDialect, Niçard]
  • A. Niçard chosen
    Niçard is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • B. Massylii
    Massylii was an ancient Berber kingdom in eastern Numidia, centered in what is now northeastern Algeria and western Tunisia, known for its skilled cavalry and role in the Punic Wars.
  • C. Numida
    Numida is a genus of guineafowl, best known for the helmeted guineafowl commonly domesticated for meat and pest control.
  • D. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • E. Satrae
    The Satrae were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and resisting foreign domination, including Persian and later Macedonian influence.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70315e8e88190a5c7e5d2f2ef66bc completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b5275164819096678c019fdd4da4 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.