Triple

T10362177
Position Surface form Disambiguated ID Type / Status
Subject Northern Catalonia E244163 entity
Predicate contains P35 FINISHED
Object Perpignan E164948 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: Perpignan | Statement: [Northern Catalonia, contains, Perpignan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perpignan
Context triple: [Northern Catalonia, contains, Perpignan]
  • A. Perpignan chosen
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • B. Béziers
    Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
  • C. Montpellier
    Montpellier is a major city in southern France known for its medieval old town, vibrant university life, and proximity to the Mediterranean coast.
  • D. Sète
    Sète is a coastal port city in southern France known for its canals, fishing industry, and vibrant maritime culture on the Mediterranean Sea.
  • E. Toulouse
    "Toulouse" is a popular 2011 electro house track by Dutch DJ and producer Nicky Romero that helped establish his international reputation in the EDM scene.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e962f08c8190a7ac489dc524510d completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b1d5b388190841ed0df2145ad7a completed April 10, 2026, 9:26 p.m.
Created at: April 6, 2026, 11:59 a.m.